Pandas Profiling Report

Dataset statistics

Number of variables	62
Number of observations	116
Missing cells	2865
Missing cells (%)	39.8%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	56.3 KiB
Average record size in memory	497.1 B

Variable types

Numeric	13
Categorical	41
Unsupported	8

Alerts

`airdate` has constant value "2020-12-16"	Constant
`_embedded.show.network.officialSite` has constant value "https://www.bbc.co.uk/bbcthree"	Constant
`_embedded.show.dvdCountry.name` has constant value "Ukraine"	Constant
`_embedded.show.dvdCountry.code` has constant value "UA"	Constant
`_embedded.show.dvdCountry.timezone` has constant value "Europe/Zaporozhye"	Constant
`url` has a high cardinality: 116 distinct values	High cardinality
`name` has a high cardinality: 106 distinct values	High cardinality
`_links.self.href` has a high cardinality: 116 distinct values	High cardinality
`_embedded.show.url` has a high cardinality: 72 distinct values	High cardinality
`_embedded.show.name` has a high cardinality: 72 distinct values	High cardinality
`_embedded.show.premiered` has a high cardinality: 58 distinct values	High cardinality
`_embedded.show.officialSite` has a high cardinality: 63 distinct values	High cardinality
`_embedded.show.image.medium` has a high cardinality: 68 distinct values	High cardinality
`_embedded.show.image.original` has a high cardinality: 68 distinct values	High cardinality
`_embedded.show.summary` has a high cardinality: 61 distinct values	High cardinality
`_embedded.show._links.self.href` has a high cardinality: 72 distinct values	High cardinality
`_embedded.show._links.previousepisode.href` has a high cardinality: 72 distinct values	High cardinality
`id` is highly correlated with `rating.average` and 4 other fields	High correlation
`season` is highly correlated with `rating.average` and 3 other fields	High correlation
`number` is highly correlated with `_embedded.show.rating.average` and 1 other fields	High correlation
`runtime` is highly correlated with `rating.average` and 2 other fields	High correlation
`rating.average` is highly correlated with `id` and 9 other fields	High correlation
`_embedded.show.id` is highly correlated with `id` and 5 other fields	High correlation
`_embedded.show.runtime` is highly correlated with `runtime` and 2 other fields	High correlation
`_embedded.show.averageRuntime` is highly correlated with `runtime` and 2 other fields	High correlation
`_embedded.show.rating.average` is highly correlated with `id` and 4 other fields	High correlation
`_embedded.show.weight` is highly correlated with `rating.average` and 2 other fields	High correlation
`_embedded.show.webChannel.id` is highly correlated with `rating.average` and 2 other fields	High correlation
`_embedded.show.externals.tvrage` is highly correlated with `id` and 10 other fields	High correlation
`_embedded.show.externals.thetvdb` is highly correlated with `season` and 4 other fields	High correlation
`_embedded.show.updated` is highly correlated with `rating.average` and 2 other fields	High correlation
`_embedded.show.network.id` is highly correlated with `id` and 7 other fields	High correlation
`id` is highly correlated with `rating.average` and 3 other fields	High correlation
`season` is highly correlated with `number` and 3 other fields	High correlation
`number` is highly correlated with `season` and 3 other fields	High correlation
`runtime` is highly correlated with `_embedded.show.runtime` and 1 other fields	High correlation
`rating.average` is highly correlated with `id` and 6 other fields	High correlation
`_embedded.show.id` is highly correlated with `rating.average` and 3 other fields	High correlation
`_embedded.show.runtime` is highly correlated with `season` and 4 other fields	High correlation
`_embedded.show.averageRuntime` is highly correlated with `runtime` and 2 other fields	High correlation
`_embedded.show.rating.average` is highly correlated with `id` and 6 other fields	High correlation
`_embedded.show.weight` is highly correlated with `rating.average` and 2 other fields	High correlation
`_embedded.show.webChannel.id` is highly correlated with `_embedded.show.rating.average` and 2 other fields	High correlation
`_embedded.show.externals.tvrage` is highly correlated with `id` and 10 other fields	High correlation
`_embedded.show.externals.thetvdb` is highly correlated with `rating.average` and 3 other fields	High correlation
`_embedded.show.updated` is highly correlated with `_embedded.show.rating.average` and 1 other fields	High correlation
`_embedded.show.network.id` is highly correlated with `id` and 6 other fields	High correlation
`id` is highly correlated with `_embedded.show.externals.tvrage` and 1 other fields	High correlation
`season` is highly correlated with `rating.average` and 2 other fields	High correlation
`number` is highly correlated with `_embedded.show.rating.average` and 1 other fields	High correlation
`runtime` is highly correlated with `_embedded.show.runtime` and 1 other fields	High correlation
`rating.average` is highly correlated with `season` and 7 other fields	High correlation
`_embedded.show.id` is highly correlated with `rating.average` and 3 other fields	High correlation
`_embedded.show.runtime` is highly correlated with `runtime` and 2 other fields	High correlation
`_embedded.show.averageRuntime` is highly correlated with `runtime` and 2 other fields	High correlation
`_embedded.show.rating.average` is highly correlated with `number` and 3 other fields	High correlation
`_embedded.show.weight` is highly correlated with `rating.average` and 2 other fields	High correlation
`_embedded.show.webChannel.id` is highly correlated with `rating.average` and 2 other fields	High correlation
`_embedded.show.externals.tvrage` is highly correlated with `id` and 10 other fields	High correlation
`_embedded.show.externals.thetvdb` is highly correlated with `season` and 3 other fields	High correlation
`_embedded.show.updated` is highly correlated with `rating.average` and 1 other fields	High correlation
`_embedded.show.network.id` is highly correlated with `id` and 5 other fields	High correlation
`id` is highly correlated with `airstamp` and 27 other fields	High correlation
`season` is highly correlated with `number` and 21 other fields	High correlation
`number` is highly correlated with `season` and 34 other fields	High correlation
`type` is highly correlated with `airtime` and 21 other fields	High correlation
`airtime` is highly correlated with `number` and 36 other fields	High correlation
`airstamp` is highly correlated with `id` and 40 other fields	High correlation
`runtime` is highly correlated with `season` and 39 other fields	High correlation
`summary` is highly correlated with `id` and 33 other fields	High correlation
`rating.average` is highly correlated with `runtime` and 23 other fields	High correlation
`image.medium` is highly correlated with `id` and 39 other fields	High correlation
`image.original` is highly correlated with `id` and 39 other fields	High correlation
`_embedded.show.id` is highly correlated with `id` and 39 other fields	High correlation
`_embedded.show.url` is highly correlated with `id` and 44 other fields	High correlation
`_embedded.show.name` is highly correlated with `id` and 44 other fields	High correlation
`_embedded.show.type` is highly correlated with `season` and 40 other fields	High correlation
`_embedded.show.language` is highly correlated with `id` and 40 other fields	High correlation
`_embedded.show.status` is highly correlated with `number` and 34 other fields	High correlation
`_embedded.show.runtime` is highly correlated with `season` and 35 other fields	High correlation
`_embedded.show.averageRuntime` is highly correlated with `season` and 41 other fields	High correlation
`_embedded.show.premiered` is highly correlated with `id` and 44 other fields	High correlation
`_embedded.show.ended` is highly correlated with `id` and 33 other fields	High correlation
`_embedded.show.officialSite` is highly correlated with `id` and 44 other fields	High correlation
`_embedded.show.schedule.time` is highly correlated with `number` and 36 other fields	High correlation
`_embedded.show.rating.average` is highly correlated with `type` and 28 other fields	High correlation
`_embedded.show.weight` is highly correlated with `id` and 36 other fields	High correlation
`_embedded.show.webChannel.id` is highly correlated with `id` and 32 other fields	High correlation
`_embedded.show.webChannel.name` is highly correlated with `id` and 41 other fields	High correlation
`_embedded.show.webChannel.officialSite` is highly correlated with `id` and 34 other fields	High correlation
`_embedded.show.externals.tvrage` is highly correlated with `number` and 21 other fields	High correlation
`_embedded.show.externals.thetvdb` is highly correlated with `season` and 33 other fields	High correlation
`_embedded.show.externals.imdb` is highly correlated with `id` and 43 other fields	High correlation
`_embedded.show.image.medium` is highly correlated with `id` and 44 other fields	High correlation
`_embedded.show.image.original` is highly correlated with `id` and 44 other fields	High correlation
`_embedded.show.summary` is highly correlated with `id` and 43 other fields	High correlation
`_embedded.show.updated` is highly correlated with `id` and 31 other fields	High correlation
`_embedded.show._links.self.href` is highly correlated with `id` and 44 other fields	High correlation
`_embedded.show._links.previousepisode.href` is highly correlated with `id` and 44 other fields	High correlation
`_embedded.show.webChannel.country.name` is highly correlated with `season` and 36 other fields	High correlation
`_embedded.show.webChannel.country.code` is highly correlated with `season` and 36 other fields	High correlation
`_embedded.show.webChannel.country.timezone` is highly correlated with `season` and 36 other fields	High correlation
`_embedded.show._links.nextepisode.href` is highly correlated with `id` and 35 other fields	High correlation
`_embedded.show.network.id` is highly correlated with `id` and 30 other fields	High correlation
`_embedded.show.network.name` is highly correlated with `id` and 38 other fields	High correlation
`_embedded.show.network.country.name` is highly correlated with `id` and 35 other fields	High correlation
`_embedded.show.network.country.code` is highly correlated with `id` and 35 other fields	High correlation
`_embedded.show.network.country.timezone` is highly correlated with `id` and 35 other fields	High correlation
`number` has 2 (1.7%) missing values	Missing
`runtime` has 10 (8.6%) missing values	Missing
`summary` has 81 (69.8%) missing values	Missing
`rating.average` has 108 (93.1%) missing values	Missing
`image.medium` has 80 (69.0%) missing values	Missing
`image.original` has 80 (69.0%) missing values	Missing
`_embedded.show.language` has 6 (5.2%) missing values	Missing
`_embedded.show.runtime` has 46 (39.7%) missing values	Missing
`_embedded.show.averageRuntime` has 6 (5.2%) missing values	Missing
`_embedded.show.ended` has 51 (44.0%) missing values	Missing
`_embedded.show.officialSite` has 16 (13.8%) missing values	Missing
`_embedded.show.rating.average` has 106 (91.4%) missing values	Missing
`_embedded.show.network` has 116 (100.0%) missing values	Missing
`_embedded.show.webChannel.id` has 3 (2.6%) missing values	Missing
`_embedded.show.webChannel.name` has 3 (2.6%) missing values	Missing
`_embedded.show.webChannel.country` has 116 (100.0%) missing values	Missing
`_embedded.show.webChannel.officialSite` has 31 (26.7%) missing values	Missing
`_embedded.show.dvdCountry` has 116 (100.0%) missing values	Missing
`_embedded.show.externals.tvrage` has 111 (95.7%) missing values	Missing
`_embedded.show.externals.thetvdb` has 42 (36.2%) missing values	Missing
`_embedded.show.externals.imdb` has 62 (53.4%) missing values	Missing
`_embedded.show.image.medium` has 4 (3.4%) missing values	Missing
`_embedded.show.image.original` has 4 (3.4%) missing values	Missing
`_embedded.show.summary` has 11 (9.5%) missing values	Missing
`image` has 116 (100.0%) missing values	Missing
`_embedded.show.webChannel.country.name` has 69 (59.5%) missing values	Missing
`_embedded.show.webChannel.country.code` has 69 (59.5%) missing values	Missing
`_embedded.show.webChannel.country.timezone` has 69 (59.5%) missing values	Missing
`_embedded.show._links.nextepisode.href` has 109 (94.0%) missing values	Missing
`_embedded.show.network.id` has 106 (91.4%) missing values	Missing
`_embedded.show.network.name` has 106 (91.4%) missing values	Missing
`_embedded.show.network.country.name` has 106 (91.4%) missing values	Missing
`_embedded.show.network.country.code` has 106 (91.4%) missing values	Missing
`_embedded.show.network.country.timezone` has 106 (91.4%) missing values	Missing
`_embedded.show.network.officialSite` has 115 (99.1%) missing values	Missing
`_embedded.show.webChannel` has 116 (100.0%) missing values	Missing
`_embedded.show.image` has 116 (100.0%) missing values	Missing
`_embedded.show.dvdCountry.name` has 115 (99.1%) missing values	Missing
`_embedded.show.dvdCountry.code` has 115 (99.1%) missing values	Missing
`_embedded.show.dvdCountry.timezone` has 115 (99.1%) missing values	Missing
`url` is uniformly distributed	Uniform
`name` is uniformly distributed	Uniform
`summary` is uniformly distributed	Uniform
`image.medium` is uniformly distributed	Uniform
`image.original` is uniformly distributed	Uniform
`_links.self.href` is uniformly distributed	Uniform
`_embedded.show._links.nextepisode.href` is uniformly distributed	Uniform
`_embedded.show.network.name` is uniformly distributed	Uniform
`_embedded.show.network.country.name` is uniformly distributed	Uniform
`_embedded.show.network.country.code` is uniformly distributed	Uniform
`_embedded.show.network.country.timezone` is uniformly distributed	Uniform
`id` has unique values	Unique
`url` has unique values	Unique
`_links.self.href` has unique values	Unique
`_embedded.show.genres` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`_embedded.show.schedule.days` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`_embedded.show.network` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`_embedded.show.webChannel.country` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`_embedded.show.dvdCountry` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`image` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`_embedded.show.webChannel` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`_embedded.show.image` is an unsupported type, check if it needs cleaning or further analysis	Unsupported

Reproduction

Analysis started	2022-09-05 04:40:15.052003
Analysis finished	2022-09-05 04:40:32.087406
Duration	17.04 seconds
Software version	pandas-profiling v3.2.0
Download configuration	config.json

id
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
UNIQUE

Distinct	116
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2031864.078

Minimum	1945146
Maximum	2386107
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.0 KiB

Quantile statistics

Minimum	1945146
5-th percentile	1963088
Q1	1984952.75
median	1987998.5
Q3	2047460
95-th percentile	2197362
Maximum	2386107
Range	440961
Interquartile range (IQR)	62507.25

Descriptive statistics

Standard deviation	86935.73115
Coefficient of variation (CV)	0.04278619427
Kurtosis	3.125651342
Mean	2031864.078
Median Absolute Deviation (MAD)	10537
Skewness	1.836016252
Sum	235696233
Variance	7557821351
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
2179613	1	0.9%
1987033	1	0.9%
1997509	1	0.9%
1997508	1	0.9%
1988063	1	0.9%
1988062	1	0.9%
1987999	1	0.9%
1987998	1	0.9%
1987997	1	0.9%
1987996	1	0.9%
Other values (106)	106	91.4%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1945146	1	0.9%
1945868	1	0.9%
1945900	1	0.9%
1945901	1	0.9%
1958574	1	0.9%
1958867	1	0.9%
1964495	1	0.9%
1970206	1	0.9%
1972027	1	0.9%
1976040	1	0.9%

Value	Count	Frequency (%)
2386107	1	0.9%
2330007	1	0.9%
2318106	1	0.9%
2205975	1	0.9%
2205974	1	0.9%
2197596	1	0.9%
2197284	1	0.9%
2192624	1	0.9%
2182083	1	0.9%
2179613	1	0.9%

url
Categorical

HIGH CARDINALITY
UNIFORM
UNIQUE

Distinct	116
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	1.0 KiB

https://www.tvmaze.com/episodes/2179613/kontakty-1x30-kontakty-v-telefone-ili-makarova-ruslan-belyj-guram-amaran-andrej-beburisvili-sasa-vas	1
https://www.tvmaze.com/episodes/1987033/the-expanse-aftershow-1x01-naren-shankar	1
https://www.tvmaze.com/episodes/1997509/the-penalty-zone-1x02-episode-2	1
https://www.tvmaze.com/episodes/1997508/the-penalty-zone-1x01-episode-1	1
https://www.tvmaze.com/episodes/1988063/forever-love-1x12-episode-12	1
Other values (111)	111

Length

Max length	161
Median length	113
Mean length	81.79310345
Min length	62

Characters and Unicode

Total characters	9488
Distinct characters	40
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	116 ?
Unique (%)	100.0%

Sample

1st row	https://www.tvmaze.com/episodes/2179613/kontakty-1x30-kontakty-v-telefone-ili-makarova-ruslan-belyj-guram-amaran-andrej-beburisvili-sasa-vas
2nd row	https://www.tvmaze.com/episodes/1983259/mertvye-dusi-1x03-seria-3
3rd row	https://www.tvmaze.com/episodes/1983260/mertvye-dusi-1x04-seria-4
4th row	https://www.tvmaze.com/episodes/1997413/wan-sheng-jie-2x12-ah-goodbye-friends
5th row	https://www.tvmaze.com/episodes/2386107/xian-feng-jian-yu-lu-1x48-episode-48

Common Values

Value	Count	Frequency (%)
https://www.tvmaze.com/episodes/2179613/kontakty-1x30-kontakty-v-telefone-ili-makarova-ruslan-belyj-guram-amaran-andrej-beburisvili-sasa-vas	1	0.9%
https://www.tvmaze.com/episodes/1987033/the-expanse-aftershow-1x01-naren-shankar	1	0.9%
https://www.tvmaze.com/episodes/1997509/the-penalty-zone-1x02-episode-2	1	0.9%
https://www.tvmaze.com/episodes/1997508/the-penalty-zone-1x01-episode-1	1	0.9%
https://www.tvmaze.com/episodes/1988063/forever-love-1x12-episode-12	1	0.9%
https://www.tvmaze.com/episodes/1988062/forever-love-1x11-episode-11	1	0.9%
https://www.tvmaze.com/episodes/1987999/rompan-todo-la-historia-del-rock-en-america-latina-1x06-una-nueva-era	1	0.9%
https://www.tvmaze.com/episodes/1987998/rompan-todo-la-historia-del-rock-en-america-latina-1x05-un-solo-continente	1	0.9%
https://www.tvmaze.com/episodes/1987997/rompan-todo-la-historia-del-rock-en-america-latina-1x04-rock-en-tu-idioma	1	0.9%
https://www.tvmaze.com/episodes/1987996/rompan-todo-la-historia-del-rock-en-america-latina-1x03-musica-a-colores	1	0.9%
Other values (106)	106	91.4%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
https://www.tvmaze.com/episodes/2179613/kontakty-1x30-kontakty-v-telefone-ili-makarova-ruslan-belyj-guram-amaran-andrej-beburisvili-sasa-vas	1	0.9%
https://www.tvmaze.com/episodes/1977324/stjernestov-1x16-episode-16	1	0.9%
https://www.tvmaze.com/episodes/1983260/mertvye-dusi-1x04-seria-4	1	0.9%
https://www.tvmaze.com/episodes/1997413/wan-sheng-jie-2x12-ah-goodbye-friends	1	0.9%
https://www.tvmaze.com/episodes/2386107/xian-feng-jian-yu-lu-1x48-episode-48	1	0.9%
https://www.tvmaze.com/episodes/2095628/yi-nian-yong-heng-1x21-episode-21	1	0.9%
https://www.tvmaze.com/episodes/2096298/no-turning-back-romance-1x04-4	1	0.9%
https://www.tvmaze.com/episodes/2030020/dolls-frontline-2x12-episode-12	1	0.9%
https://www.tvmaze.com/episodes/2066369/chu-feng-yi-dian-shizi-1x06-episode-6	1	0.9%
https://www.tvmaze.com/episodes/2071481/youths-in-the-breeze-1x11-people-from-the-story-03	1	0.9%
Other values (106)	106	91.4%

Most occurring characters

Value	Count	Frequency (%)
e	812	8.6%
-	760	8.0%
t	582	6.1%
/	580	6.1%
s	566	6.0%
o	523	5.5%
a	430	4.5%
w	389	4.1%
i	386	4.1%
m	354	3.7%
Other values (30)	4106	43.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	6498	68.5%
Decimal Number	1302	13.7%
Other Punctuation	928	9.8%
Dash Punctuation	760	8.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	812	12.5%
t	582	9.0%
s	566	8.7%
o	523	8.0%
a	430	6.6%
w	389	6.0%
i	386	5.9%
m	354	5.4%
p	351	5.4%
d	271	4.2%
Other values (16)	1834	28.2%

Decimal Number

Value	Count	Frequency (%)
1	313	24.0%
9	171	13.1%
0	152	11.7%
2	147	11.3%
8	98	7.5%
3	95	7.3%
7	93	7.1%
6	83	6.4%
4	76	5.8%
5	74	5.7%

Other Punctuation

Value	Count	Frequency (%)
/	580	62.5%
.	232	25.0%
:	116	12.5%

Dash Punctuation

Value	Count	Frequency (%)
-	760	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	6498	68.5%
Common	2990	31.5%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	812	12.5%
t	582	9.0%
s	566	8.7%
o	523	8.0%
a	430	6.6%
w	389	6.0%
i	386	5.9%
m	354	5.4%
p	351	5.4%
d	271	4.2%
Other values (16)	1834	28.2%

Common

Value	Count	Frequency (%)
-	760	25.4%
/	580	19.4%
1	313	10.5%
.	232	7.8%
9	171	5.7%
0	152	5.1%
2	147	4.9%
:	116	3.9%
8	98	3.3%
3	95	3.2%
Other values (4)	326	10.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	9488	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	812	8.6%
-	760	8.0%
t	582	6.1%
/	580	6.1%
s	566	6.0%
o	523	5.5%
a	430	4.5%
w	389	4.1%
i	386	4.1%
m	354	3.7%
Other values (30)	4106	43.3%

name
Categorical

HIGH CARDINALITY
UNIFORM

Distinct	106
Distinct (%)	91.4%
Missing	0
Missing (%)	0.0%
Memory size	1.0 KiB

Episode 21	3
Episode 2	2
Episode 12	2
Episode 13	2
Episode 14	2
Other values (101)	105

Length

Max length	97
Median length	72
Mean length	17.88793103
Min length	1

Characters and Unicode

Total characters	2075
Distinct characters	131
Distinct categories	9 ?
Distinct scripts	3 ?
Distinct blocks	3 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	97 ?
Unique (%)	83.6%

Sample

1st row	КОНТАКТЫ в телефоне Ильи Макарова: Руслан Белый, Гурам Амарян, Андрей Бебуришвили, Саша Ваш
2nd row	Серия 3
3rd row	Серия 4
4th row	Ah, Goodbye Friends
5th row	Episode 48

Common Values

Value	Count	Frequency (%)
Episode 21	3	2.6%
Episode 2	2	1.7%
Episode 12	2	1.7%
Episode 13	2	1.7%
Episode 14	2	1.7%
Episode 6	2	1.7%
Episode 8	2	1.7%
Episode 22	2	1.7%
Episode 5	2	1.7%
Rock en tu idioma	1	0.9%
Other values (96)	96	82.8%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
episode	43	11.5%
the	12	3.2%
	9	2.4%
a	5	1.3%
2	4	1.1%
16	3	0.8%
la	3	0.8%
4	3	0.8%
21	3	0.8%
from	2	0.5%
Other values (263)	288	76.8%

Most occurring characters

Value	Count	Frequency (%)
	259	12.5%
e	160	7.7%
o	113	5.4%
i	109	5.3%
s	89	4.3%
a	87	4.2%
d	73	3.5%
n	69	3.3%
r	65	3.1%
E	57	2.7%
Other values (121)	994	47.9%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	1321	63.7%
Uppercase Letter	346	16.7%
Space Separator	259	12.5%
Decimal Number	105	5.1%
Other Punctuation	36	1.7%
Dash Punctuation	4	0.2%
Math Symbol	2	0.1%
Open Punctuation	1	< 0.1%
Close Punctuation	1	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	160	12.1%
o	113	8.6%
i	109	8.3%
s	89	6.7%
a	87	6.6%
d	73	5.5%
n	69	5.2%
r	65	4.9%
t	57	4.3%
p	51	3.9%
Other values (51)	448	33.9%

Uppercase Letter

Value	Count	Frequency (%)
E	57	16.5%
T	20	5.8%
S	17	4.9%
M	14	4.0%
D	14	4.0%
R	13	3.8%
L	12	3.5%
O	11	3.2%
H	11	3.2%
N	10	2.9%
Other values (37)	167	48.3%

Decimal Number

Value	Count	Frequency (%)
1	24	22.9%
2	21	20.0%
3	14	13.3%
4	11	10.5%
0	10	9.5%
6	7	6.7%
8	6	5.7%
5	5	4.8%
9	4	3.8%
7	3	2.9%

Other Punctuation

Value	Count	Frequency (%)
,	17	47.2%
'	4	11.1%
&	3	8.3%
:	3	8.3%
?	3	8.3%
.	3	8.3%
#	2	5.6%
/	1	2.8%

Space Separator

Value	Count	Frequency (%)
	259	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	4	100.0%

Math Symbol

Value	Count	Frequency (%)
\|	2	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	1	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	1369	66.0%
Common	408	19.7%
Cyrillic	298	14.4%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	160	11.7%
o	113	8.3%
i	109	8.0%
s	89	6.5%
a	87	6.4%
d	73	5.3%
n	69	5.0%
r	65	4.7%
E	57	4.2%
t	57	4.2%
Other values (45)	490	35.8%

Cyrillic

Value	Count	Frequency (%)
а	32	10.7%
е	18	6.0%
р	17	5.7%
н	16	5.4%
и	14	4.7%
о	11	3.7%
т	10	3.4%
в	9	3.0%
О	9	3.0%
К	8	2.7%
Other values (43)	154	51.7%

Common

Value	Count	Frequency (%)
	259	63.5%
1	24	5.9%
2	21	5.1%
,	17	4.2%
3	14	3.4%
4	11	2.7%
0	10	2.5%
6	7	1.7%
8	6	1.5%
5	5	1.2%
Other values (13)	34	8.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1767	85.2%
Cyrillic	298	14.4%
None	10	0.5%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	259	14.7%
e	160	9.1%
o	113	6.4%
i	109	6.2%
s	89	5.0%
a	87	4.9%
d	73	4.1%
n	69	3.9%
r	65	3.7%
E	57	3.2%
Other values (61)	686	38.8%

Cyrillic

Value	Count	Frequency (%)
а	32	10.7%
е	18	6.0%
р	17	5.7%
н	16	5.4%
и	14	4.7%
о	11	3.7%
т	10	3.4%
в	9	3.0%
О	9	3.0%
К	8	2.7%
Other values (43)	154	51.7%

None

Value	Count	Frequency (%)
ó	3	30.0%
í	2	20.0%
ø	1	10.0%
ú	1	10.0%
å	1	10.0%
ç	1	10.0%
ã	1	10.0%

season
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	12
Distinct (%)	10.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	89.25

Minimum	1
Maximum	2020
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.0 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	1
median	1
Q3	2
95-th percentile	21.25
Maximum	2020
Range	2019
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	411.5731194
Coefficient of variation (CV)	4.611463523
Kurtosis	19.10662937
Mean	89.25
Median Absolute Deviation (MAD)	0
Skewness	4.558015202
Sum	10353
Variance	169392.4326
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=12)

Value	Count	Frequency (%)
1	83	71.6%
2	7	6.0%
5	5	4.3%
2020	5	4.3%
4	5	4.3%
3	3	2.6%
7	3	2.6%
10	1	0.9%
8	1	0.9%
18	1	0.9%
Other values (2)	2	1.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	83	71.6%
2	7	6.0%
3	3	2.6%
4	5	4.3%
5	5	4.3%
7	3	2.6%
8	1	0.9%
10	1	0.9%
14	1	0.9%
18	1	0.9%

Value	Count	Frequency (%)
2020	5	4.3%
31	1	0.9%
18	1	0.9%
14	1	0.9%
10	1	0.9%
8	1	0.9%
7	3	2.6%
5	5	4.3%
4	5	4.3%
3	3	2.6%

number
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	48
Distinct (%)	42.1%
Missing	2
Missing (%)	1.7%
Infinite	0
Infinite (%)	0.0%
Mean	26.72807018

Minimum	1
Maximum	343
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.0 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	3.25
median	11
Q3	25.5
95-th percentile	72.6
Maximum	343
Range	342
Interquartile range (IQR)	22.25

Descriptive statistics

Standard deviation	53.4704095
Coefficient of variation (CV)	2.000533864
Kurtosis	22.49976727
Mean	26.72807018
Median Absolute Deviation (MAD)	9
Skewness	4.547885564
Sum	3047
Variance	2859.084692
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=48)

Value	Count	Frequency (%)
1	10	8.6%
3	10	8.6%
2	9	7.8%
4	6	5.2%
6	6	5.2%
11	5	4.3%
5	5	4.3%
8	4	3.4%
12	4	3.4%
21	4	3.4%
Other values (38)	51	44.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	10	8.6%
2	9	7.8%
3	10	8.6%
4	6	5.2%
5	5	4.3%
6	6	5.2%
7	1	0.9%
8	4	3.4%
9	2	1.7%
11	5	4.3%

Value	Count	Frequency (%)
343	1	0.9%
306	1	0.9%
305	1	0.9%
153	1	0.9%
102	1	0.9%
83	1	0.9%
67	1	0.9%
63	1	0.9%
62	1	0.9%
57	2	1.7%

type
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	1.7%
Missing	0
Missing (%)	0.0%
Memory size	1.0 KiB

regular	114
significant_special	2

Length

Max length	19
Median length	7
Mean length	7.206896552
Min length	7

Characters and Unicode

Total characters	836
Distinct characters	14
Distinct categories	2 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	regular
2nd row	regular
3rd row	regular
4th row	regular
5th row	regular

Common Values

Value	Count	Frequency (%)
regular	114	98.3%
significant_special	2	1.7%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
regular	114	98.3%
significant_special	2	1.7%

Most occurring characters

Value	Count	Frequency (%)
r	228	27.3%
a	118	14.1%
e	116	13.9%
g	116	13.9%
l	116	13.9%
u	114	13.6%
i	8	1.0%
s	4	0.5%
n	4	0.5%
c	4	0.5%
Other values (4)	8	1.0%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	834	99.8%
Connector Punctuation	2	0.2%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
r	228	27.3%
a	118	14.1%
e	116	13.9%
g	116	13.9%
l	116	13.9%
u	114	13.7%
i	8	1.0%
s	4	0.5%
n	4	0.5%
c	4	0.5%
Other values (3)	6	0.7%

Connector Punctuation

Value	Count	Frequency (%)
_	2	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	834	99.8%
Common	2	0.2%

Most frequent character per script

Latin

Value	Count	Frequency (%)
r	228	27.3%
a	118	14.1%
e	116	13.9%
g	116	13.9%
l	116	13.9%
u	114	13.7%
i	8	1.0%
s	4	0.5%
n	4	0.5%
c	4	0.5%
Other values (3)	6	0.7%

Common

Value	Count	Frequency (%)
_	2	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	836	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
r	228	27.3%
a	118	14.1%
e	116	13.9%
g	116	13.9%
l	116	13.9%
u	114	13.6%
i	8	1.0%
s	4	0.5%
n	4	0.5%
c	4	0.5%
Other values (4)	8	1.0%

airdate
Categorical

CONSTANT
REJECTED

Distinct	1
Distinct (%)	0.9%
Missing	0
Missing (%)	0.0%
Memory size	1.0 KiB

2020-12-16	116

Length

Max length	10
Median length	10
Mean length	10
Min length	10

Characters and Unicode

Total characters	1160
Distinct characters	5
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2020-12-16
2nd row	2020-12-16
3rd row	2020-12-16
4th row	2020-12-16
5th row	2020-12-16

Common Values

Value	Count	Frequency (%)
2020-12-16	116	100.0%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
2020-12-16	116	100.0%

Most occurring characters

Value	Count	Frequency (%)
2	348	30.0%
0	232	20.0%
-	232	20.0%
1	232	20.0%
6	116	10.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	928	80.0%
Dash Punctuation	232	20.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
2	348	37.5%
0	232	25.0%
1	232	25.0%
6	116	12.5%

Dash Punctuation

Value	Count	Frequency (%)
-	232	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	1160	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
2	348	30.0%
0	232	20.0%
-	232	20.0%
1	232	20.0%
6	116	10.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1160	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
2	348	30.0%
0	232	20.0%
-	232	20.0%
1	232	20.0%
6	116	10.0%

airtime
Categorical

HIGH CORRELATION

Distinct	11
Distinct (%)	9.5%
Missing	0
Missing (%)	0.0%
Memory size	1.0 KiB

	80
20:00	17
21:00	6
10:00	4
12:00	2
Other values (6)	7

Length

Max length	5
Median length	0
Mean length	1.551724138
Min length	0

Characters and Unicode

Total characters	180
Distinct characters	10
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	5 ?
Unique (%)	4.3%

Sample

1st row	12:00
2nd row
3rd row
4th row	10:00
5th row	10:00

Common Values

Value	Count	Frequency (%)
	80	69.0%
20:00	17	14.7%
21:00	6	5.2%
10:00	4	3.4%
12:00	2	1.7%
00:00	2	1.7%
06:00	1	0.9%
17:35	1	0.9%
09:00	1	0.9%
08:30	1	0.9%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
20:00	17	47.2%
21:00	6	16.7%
10:00	4	11.1%
12:00	2	5.6%
00:00	2	5.6%
06:00	1	2.8%
17:35	1	2.8%
09:00	1	2.8%
08:30	1	2.8%
19:00	1	2.8%

Most occurring characters

Value	Count	Frequency (%)
0	97	53.9%
:	36	20.0%
2	25	13.9%
1	14	7.8%
3	2	1.1%
9	2	1.1%
6	1	0.6%
7	1	0.6%
5	1	0.6%
8	1	0.6%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	144	80.0%
Other Punctuation	36	20.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	97	67.4%
2	25	17.4%
1	14	9.7%
3	2	1.4%
9	2	1.4%
6	1	0.7%
7	1	0.7%
5	1	0.7%
8	1	0.7%

Other Punctuation

Value	Count	Frequency (%)
:	36	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	180	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	97	53.9%
:	36	20.0%
2	25	13.9%
1	14	7.8%
3	2	1.1%
9	2	1.1%
6	1	0.6%
7	1	0.6%
5	1	0.6%
8	1	0.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	180	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	97	53.9%
:	36	20.0%
2	25	13.9%
1	14	7.8%
3	2	1.1%
9	2	1.1%
6	1	0.6%
7	1	0.6%
5	1	0.6%
8	1	0.6%

airstamp
Categorical

HIGH CORRELATION

Distinct	19
Distinct (%)	16.4%
Missing	0
Missing (%)	0.0%
Memory size	1.0 KiB

2020-12-16T12:00:00+00:00	75
2020-12-16T04:00:00+00:00	7
2020-12-16T11:00:00+00:00	6
2020-12-16T13:00:00+00:00	6
2020-12-16T02:00:00+00:00	3
Other values (14)	19

Length

Max length	25
Median length	25
Mean length	25
Min length	25

Characters and Unicode

Total characters	2900
Distinct characters	13
Distinct categories	5 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	10 ?
Unique (%)	8.6%

Sample

1st row	2020-12-16T00:00:00+00:00
2nd row	2020-12-16T00:00:00+00:00
3rd row	2020-12-16T00:00:00+00:00
4th row	2020-12-16T02:00:00+00:00
5th row	2020-12-16T02:00:00+00:00

Common Values

Value	Count	Frequency (%)
2020-12-16T12:00:00+00:00	75	64.7%
2020-12-16T04:00:00+00:00	7	6.0%
2020-12-16T11:00:00+00:00	6	5.2%
2020-12-16T13:00:00+00:00	6	5.2%
2020-12-16T02:00:00+00:00	3	2.6%
2020-12-16T00:00:00+00:00	3	2.6%
2020-12-16T10:00:00+00:00	2	1.7%
2020-12-16T15:00:00+00:00	2	1.7%
2020-12-16T17:00:00+00:00	2	1.7%
2020-12-16T07:00:00+00:00	1	0.9%
Other values (9)	9	7.8%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
2020-12-16t12:00:00+00:00	75	64.7%
2020-12-16t04:00:00+00:00	7	6.0%
2020-12-16t11:00:00+00:00	6	5.2%
2020-12-16t13:00:00+00:00	6	5.2%
2020-12-16t02:00:00+00:00	3	2.6%
2020-12-16t00:00:00+00:00	3	2.6%
2020-12-16t10:00:00+00:00	2	1.7%
2020-12-16t15:00:00+00:00	2	1.7%
2020-12-16t17:00:00+00:00	2	1.7%
2020-12-16t13:30:00+00:00	1	0.9%
Other values (9)	9	7.8%

Most occurring characters

Value	Count	Frequency (%)
0	1182	40.8%
2	426	14.7%
:	348	12.0%
1	335	11.6%
-	232	8.0%
T	116	4.0%
+	116	4.0%
6	114	3.9%
3	10	0.3%
4	8	0.3%
Other values (3)	13	0.4%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	2088	72.0%
Other Punctuation	348	12.0%
Dash Punctuation	232	8.0%
Uppercase Letter	116	4.0%
Math Symbol	116	4.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	1182	56.6%
2	426	20.4%
1	335	16.0%
6	114	5.5%
3	10	0.5%
4	8	0.4%
5	6	0.3%
7	5	0.2%
9	2	0.1%

Other Punctuation

Value	Count	Frequency (%)
:	348	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	232	100.0%

Uppercase Letter

Value	Count	Frequency (%)
T	116	100.0%

Math Symbol

Value	Count	Frequency (%)
+	116	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	2784	96.0%
Latin	116	4.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	1182	42.5%
2	426	15.3%
:	348	12.5%
1	335	12.0%
-	232	8.3%
+	116	4.2%
6	114	4.1%
3	10	0.4%
4	8	0.3%
5	6	0.2%
Other values (2)	7	0.3%

Latin

Value	Count	Frequency (%)
T	116	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2900	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	1182	40.8%
2	426	14.7%
:	348	12.0%
1	335	11.6%
-	232	8.0%
T	116	4.0%
+	116	4.0%
6	114	3.9%
3	10	0.3%
4	8	0.3%
Other values (3)	13	0.4%

runtime
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	39
Distinct (%)	36.8%
Missing	10
Missing (%)	8.6%
Infinite	0
Infinite (%)	0.0%
Mean	39.46226415

Minimum	2
Maximum	161
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.0 KiB

Quantile statistics

Minimum	2
5-th percentile	5.25
Q1	24.25
median	45
Q3	45
95-th percentile	87.25
Maximum	161
Range	159
Interquartile range (IQR)	20.75

Descriptive statistics

Standard deviation	26.29835212
Coefficient of variation (CV)	0.6664177205
Kurtosis	5.708139951
Mean	39.46226415
Median Absolute Deviation (MAD)	12.5
Skewness	1.83942547
Sum	4183
Variance	691.6033243
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=39)

Value	Count	Frequency (%)
45	32	27.6%
30	5	4.3%
12	4	3.4%
52	4	3.4%
120	4	3.4%
5	3	2.6%
19	3	2.6%
7	3	2.6%
26	3	2.6%
20	3	2.6%
Other values (29)	42	36.2%
(Missing)	10	8.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
2	1	0.9%
4	2	1.7%
5	3	2.6%
6	1	0.9%
7	3	2.6%
8	2	1.7%
11	1	0.9%
12	4	3.4%
13	1	0.9%
18	1	0.9%

Value	Count	Frequency (%)
161	1	0.9%
120	4	3.4%
90	1	0.9%
79	1	0.9%
60	3	2.6%
55	1	0.9%
53	1	0.9%
52	4	3.4%
51	2	1.7%
50	1	0.9%

summary
Categorical

HIGH CORRELATION
MISSING
UNIFORM

Distinct	35
Distinct (%)	100.0%
Missing	81
Missing (%)	69.8%
Memory size	1.0 KiB

<p>Ahead of the long awaited second series of RuPaul's Drag Race UK Mama Ru introduces the 12 fabulous new queens competing for the title of the UK's Next Drag Race Superstar. </p>	1
<p>To get back in her family's good graces, Tumi looks for the missing best man. Against their better judgement, Tumi and Beauty seek out a family member.</p><p><br /> </p>	1
<p>Tumi shocks both families and devastates Beauty by letting slip a secret. But this time, after some soul searching, she decides to face the music.</p>	1
<p>Ty Franck and Wes Chatham welcome Executive Producer & Showrunner, Naren Shankar, to chat through how they adapted Nemesis Games to Season 5, The Churn, and what the hell a showrunner does.</p>	1
<p>Steven Strait (Lead Actor & Producer) and Breck Eisner (Director) join Wes Chatham and Ty Franck on this episode of the official The Expanse After show to discuss the contentious relationship between writer and director, insulting Steven Spielberg, the concept of family for Belters, capturing Baltimore in a totally uncomplicated way, and the once-a-season Simpsons easter egg.</p>	1
Other values (30)	30

Length

Max length	595
Median length	187
Mean length	192.8571429
Min length	91

Characters and Unicode

Total characters	6750
Distinct characters	78
Distinct categories	9 ?
Distinct scripts	2 ?
Distinct blocks	3 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	35 ?
Unique (%)	100.0%

Sample

1st row	<p>Ahead of the long awaited second series of RuPaul's Drag Race UK Mama Ru introduces the 12 fabulous new queens competing for the title of the UK's Next Drag Race Superstar. </p>
2nd row	<p>Holden tries to convince Fred Johnson to destroy the last sample of protomolecule. Naomi gets an important lead to her son. On Luna, Avasarala begins to hunt for Marco Inaros.</p>
3rd row	<p>Holden and Fred deal with infiltrators on Tycho. Drummer's past comes back to haunt her. Amos returns to Baltimore. Alex and Bobbie's investigation on Mars leads to rogue soldiers.</p>
4th row	<p>Naomi comes face to face with Filip. Holden and Fred turn the tables. Avasarala closes in on Marco's plot.</p>
5th row	<p>How do they know you're lonely? Because you're watching this, mawmuh. Trixie and Katya explore the concept of loneliness!</p>

Common Values

Value	Count	Frequency (%)
<p>Ahead of the long awaited second series of RuPaul's Drag Race UK Mama Ru introduces the 12 fabulous new queens competing for the title of the UK's Next Drag Race Superstar. </p>	1	0.9%
<p>To get back in her family's good graces, Tumi looks for the missing best man. Against their better judgement, Tumi and Beauty seek out a family member.</p><p><br /> </p>	1	0.9%
<p>Tumi shocks both families and devastates Beauty by letting slip a secret. But this time, after some soul searching, she decides to face the music.</p>	1	0.9%
<p>Ty Franck and Wes Chatham welcome Executive Producer & Showrunner, Naren Shankar, to chat through how they adapted Nemesis Games to Season 5, The Churn, and what the hell a showrunner does.</p>	1	0.9%
<p>Steven Strait (Lead Actor & Producer) and Breck Eisner (Director) join Wes Chatham and Ty Franck on this episode of the official The Expanse After show to discuss the contentious relationship between writer and director, insulting Steven Spielberg, the concept of family for Belters, capturing Baltimore in a totally uncomplicated way, and the once-a-season Simpsons easter egg.</p>	1	0.9%
<p>Ty and Wes sit down with Thomas Jane, a man who wears many hats—that's not a Miller joke, he directed Episode 3 in Season 5! Watch them break down Thomas' new role as a director, diverting from the scripts, and the impact of seeing Alien (1979) as children.</p>	1	0.9%
<p>Latin America's rock movement was sparked by Ritchie Valens' "La Bamba" and the Beatles but found its own voice in youth and resistance to dictatorship.</p><p><br /> </p>	1	0.9%
<p>When the band Peace and Love began chanting, "We got the power!" at the first rock festival in Mexico in 1971, the government responded by banning rock.</p><p><br /> </p>	1	0.9%
<p>After the fall of the Argentine dictatorship in 1983 and the Mexico City earthquake in 1985, rock explodes with ingenuity. And it's all in Spanish.</p><p><br /> </p>	1	0.9%
<p>Argentina's Soda Stereo were the first all-hemispheric hitmakers, followed by Mexico's Caifanes and Los Prisioneros from Pinochet's Chile.</p><p><br /> </p>	1	0.9%
Other values (25)	25	21.6%
(Missing)	81	69.8%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
the	70	6.3%
and	48	4.3%
to	37	3.3%
of	26	2.3%
a	25	2.2%
in	21	1.9%
	17	1.5%
p	17	1.5%
her	15	1.3%
on	11	1.0%
Other values (618)	830	74.3%

Most occurring characters

Value	Count	Frequency (%)
	1065	15.8%
e	590	8.7%
t	443	6.6%
a	413	6.1%
o	380	5.6%
i	350	5.2%
n	348	5.2%
s	328	4.9%
r	317	4.7%
h	233	3.5%
Other values (68)	2283	33.8%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	4919	72.9%
Space Separator	1082	16.0%
Uppercase Letter	242	3.6%
Math Symbol	230	3.4%
Other Punctuation	215	3.2%
Decimal Number	41	0.6%
Dash Punctuation	15	0.2%
Close Punctuation	3	< 0.1%
Open Punctuation	3	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	590	12.0%
t	443	9.0%
a	413	8.4%
o	380	7.7%
i	350	7.1%
n	348	7.1%
s	328	6.7%
r	317	6.4%
h	233	4.7%
p	198	4.0%
Other values (18)	1319	26.8%

Uppercase Letter

Value	Count	Frequency (%)
A	32	13.2%
S	27	11.2%
T	22	9.1%
M	17	7.0%
B	15	6.2%
L	14	5.8%
R	14	5.8%
C	13	5.4%
W	11	4.5%
E	9	3.7%
Other values (13)	68	28.1%

Other Punctuation

Value	Count	Frequency (%)
/	66	30.7%
.	55	25.6%
,	54	25.1%
'	23	10.7%
!	5	2.3%
"	4	1.9%
?	3	1.4%
;	2	0.9%
&	2	0.9%
:	1	0.5%

Decimal Number

Value	Count	Frequency (%)
1	9	22.0%
9	7	17.1%
2	6	14.6%
7	5	12.2%
5	4	9.8%
0	4	9.8%
8	3	7.3%
3	2	4.9%
4	1	2.4%

Space Separator

Value	Count	Frequency (%)
	1065	98.4%
	17	1.6%

Math Symbol

Value	Count	Frequency (%)
<	115	50.0%
>	115	50.0%

Dash Punctuation

Value	Count	Frequency (%)
-	12	80.0%
—	3	20.0%

Close Punctuation

Value	Count	Frequency (%)
)	3	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	3	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	5161	76.5%
Common	1589	23.5%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	590	11.4%
t	443	8.6%
a	413	8.0%
o	380	7.4%
i	350	6.8%
n	348	6.7%
s	328	6.4%
r	317	6.1%
h	233	4.5%
p	198	3.8%
Other values (41)	1561	30.2%

Common

Value	Count	Frequency (%)
	1065	67.0%
<	115	7.2%
>	115	7.2%
/	66	4.2%
.	55	3.5%
,	54	3.4%
'	23	1.4%
	17	1.1%
-	12	0.8%
1	9	0.6%
Other values (17)	58	3.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	6728	99.7%
None	19	0.3%
Punctuation	3	< 0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	1065	15.8%
e	590	8.8%
t	443	6.6%
a	413	6.1%
o	380	5.6%
i	350	5.2%
n	348	5.2%
s	328	4.9%
r	317	4.7%
h	233	3.5%
Other values (64)	2261	33.6%

None

Value	Count	Frequency (%)
	17	89.5%
é	1	5.3%
ö	1	5.3%

Punctuation

Value	Count	Frequency (%)
—	3	100.0%

rating.average
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	6
Distinct (%)	75.0%
Missing	108
Missing (%)	93.1%
Infinite	0
Infinite (%)	0.0%
Mean	7.4125

Minimum	6
Maximum	8.9
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.0 KiB

Quantile statistics

Minimum	6
5-th percentile	6.175
Q1	6.5
median	7
Q3	8.65
95-th percentile	8.865
Maximum	8.9
Range	2.9
Interquartile range (IQR)	2.15

Descriptive statistics

Standard deviation	1.198138437
Coefficient of variation (CV)	0.1616375632
Kurtosis	-2.129663048
Mean	7.4125
Median Absolute Deviation (MAD)	0.75
Skewness	0.2813067323
Sum	59.3
Variance	1.435535714
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=6)

Value	Count	Frequency (%)
6.5	3	2.6%
8.6	1	0.9%
8.8	1	0.9%
8.9	1	0.9%
7.5	1	0.9%
6	1	0.9%
(Missing)	108	93.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
6	1	0.9%
6.5	3	2.6%
7.5	1	0.9%
8.6	1	0.9%
8.8	1	0.9%
8.9	1	0.9%

Value	Count	Frequency (%)
8.9	1	0.9%
8.8	1	0.9%
8.6	1	0.9%
7.5	1	0.9%
6.5	3	2.6%
6	1	0.9%

image.medium
Categorical

HIGH CORRELATION
MISSING
UNIFORM

Distinct	36
Distinct (%)	100.0%
Missing	80
Missing (%)	69.0%
Memory size	1.0 KiB

https://static.tvmaze.com/uploads/images/medium_landscape/289/723332.jpg	1
https://static.tvmaze.com/uploads/images/medium_landscape/289/722896.jpg	1
https://static.tvmaze.com/uploads/images/medium_landscape/289/722900.jpg	1
https://static.tvmaze.com/uploads/images/medium_landscape/289/722901.jpg	1
https://static.tvmaze.com/uploads/images/medium_landscape/289/722902.jpg	1
Other values (31)	31

Length

Max length	72
Median length	72
Mean length	72
Min length	72

Characters and Unicode

Total characters	2592
Distinct characters	32
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	36 ?
Unique (%)	100.0%

Sample

1st row	https://static.tvmaze.com/uploads/images/medium_landscape/360/901423.jpg
2nd row	https://static.tvmaze.com/uploads/images/medium_landscape/290/726350.jpg
3rd row	https://static.tvmaze.com/uploads/images/medium_landscape/289/723073.jpg
4th row	https://static.tvmaze.com/uploads/images/medium_landscape/288/721855.jpg
5th row	https://static.tvmaze.com/uploads/images/medium_landscape/300/752218.jpg

Common Values

Value	Count	Frequency (%)
https://static.tvmaze.com/uploads/images/medium_landscape/289/723332.jpg	1	0.9%
https://static.tvmaze.com/uploads/images/medium_landscape/289/722896.jpg	1	0.9%
https://static.tvmaze.com/uploads/images/medium_landscape/289/722900.jpg	1	0.9%
https://static.tvmaze.com/uploads/images/medium_landscape/289/722901.jpg	1	0.9%
https://static.tvmaze.com/uploads/images/medium_landscape/289/722902.jpg	1	0.9%
https://static.tvmaze.com/uploads/images/medium_landscape/289/722922.jpg	1	0.9%
https://static.tvmaze.com/uploads/images/medium_landscape/289/723295.jpg	1	0.9%
https://static.tvmaze.com/uploads/images/medium_landscape/289/723297.jpg	1	0.9%
https://static.tvmaze.com/uploads/images/medium_landscape/360/901423.jpg	1	0.9%
https://static.tvmaze.com/uploads/images/medium_landscape/289/722895.jpg	1	0.9%
Other values (26)	26	22.4%
(Missing)	80	69.0%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
https://static.tvmaze.com/uploads/images/medium_landscape/289/723332.jpg	1	2.8%
https://static.tvmaze.com/uploads/images/medium_landscape/289/722896.jpg	1	2.8%
https://static.tvmaze.com/uploads/images/medium_landscape/293/734761.jpg	1	2.8%
https://static.tvmaze.com/uploads/images/medium_landscape/290/726350.jpg	1	2.8%
https://static.tvmaze.com/uploads/images/medium_landscape/289/723073.jpg	1	2.8%
https://static.tvmaze.com/uploads/images/medium_landscape/288/721855.jpg	1	2.8%
https://static.tvmaze.com/uploads/images/medium_landscape/300/752218.jpg	1	2.8%
https://static.tvmaze.com/uploads/images/medium_landscape/370/926331.jpg	1	2.8%
https://static.tvmaze.com/uploads/images/medium_landscape/370/926359.jpg	1	2.8%
https://static.tvmaze.com/uploads/images/medium_landscape/289/722744.jpg	1	2.8%
Other values (26)	26	72.2%

Most occurring characters

Value	Count	Frequency (%)
/	252	9.7%
a	216	8.3%
t	180	6.9%
s	180	6.9%
m	180	6.9%
p	144	5.6%
e	144	5.6%
i	108	4.2%
c	108	4.2%
.	108	4.2%
Other values (22)	972	37.5%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	1836	70.8%
Other Punctuation	396	15.3%
Decimal Number	324	12.5%
Connector Punctuation	36	1.4%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	216	11.8%
t	180	9.8%
s	180	9.8%
m	180	9.8%
p	144	7.8%
e	144	7.8%
i	108	5.9%
c	108	5.9%
d	108	5.9%
l	72	3.9%
Other values (8)	396	21.6%

Decimal Number

Value	Count	Frequency (%)
2	86	26.5%
8	48	14.8%
7	47	14.5%
9	43	13.3%
3	42	13.0%
0	18	5.6%
5	11	3.4%
6	10	3.1%
1	10	3.1%
4	9	2.8%

Other Punctuation

Value	Count	Frequency (%)
/	252	63.6%
.	108	27.3%
:	36	9.1%

Connector Punctuation

Value	Count	Frequency (%)
_	36	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	1836	70.8%
Common	756	29.2%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	216	11.8%
t	180	9.8%
s	180	9.8%
m	180	9.8%
p	144	7.8%
e	144	7.8%
i	108	5.9%
c	108	5.9%
d	108	5.9%
l	72	3.9%
Other values (8)	396	21.6%

Common

Value	Count	Frequency (%)
/	252	33.3%
.	108	14.3%
2	86	11.4%
8	48	6.3%
7	47	6.2%
9	43	5.7%
3	42	5.6%
_	36	4.8%
:	36	4.8%
0	18	2.4%
Other values (4)	40	5.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2592	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
/	252	9.7%
a	216	8.3%
t	180	6.9%
s	180	6.9%
m	180	6.9%
p	144	5.6%
e	144	5.6%
i	108	4.2%
c	108	4.2%
.	108	4.2%
Other values (22)	972	37.5%

image.original
Categorical

HIGH CORRELATION
MISSING
UNIFORM

Distinct	36
Distinct (%)	100.0%
Missing	80
Missing (%)	69.0%
Memory size	1.0 KiB

https://static.tvmaze.com/uploads/images/original_untouched/289/723332.jpg	1
https://static.tvmaze.com/uploads/images/original_untouched/289/722896.jpg	1
https://static.tvmaze.com/uploads/images/original_untouched/289/722900.jpg	1
https://static.tvmaze.com/uploads/images/original_untouched/289/722901.jpg	1
https://static.tvmaze.com/uploads/images/original_untouched/289/722902.jpg	1
Other values (31)	31

Length

Max length	74
Median length	74
Mean length	74
Min length	74

Characters and Unicode

Total characters	2664
Distinct characters	33
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	36 ?
Unique (%)	100.0%

Sample

1st row	https://static.tvmaze.com/uploads/images/original_untouched/360/901423.jpg
2nd row	https://static.tvmaze.com/uploads/images/original_untouched/290/726350.jpg
3rd row	https://static.tvmaze.com/uploads/images/original_untouched/289/723073.jpg
4th row	https://static.tvmaze.com/uploads/images/original_untouched/288/721855.jpg
5th row	https://static.tvmaze.com/uploads/images/original_untouched/300/752218.jpg

Common Values

Value	Count	Frequency (%)
https://static.tvmaze.com/uploads/images/original_untouched/289/723332.jpg	1	0.9%
https://static.tvmaze.com/uploads/images/original_untouched/289/722896.jpg	1	0.9%
https://static.tvmaze.com/uploads/images/original_untouched/289/722900.jpg	1	0.9%
https://static.tvmaze.com/uploads/images/original_untouched/289/722901.jpg	1	0.9%
https://static.tvmaze.com/uploads/images/original_untouched/289/722902.jpg	1	0.9%
https://static.tvmaze.com/uploads/images/original_untouched/289/722922.jpg	1	0.9%
https://static.tvmaze.com/uploads/images/original_untouched/289/723295.jpg	1	0.9%
https://static.tvmaze.com/uploads/images/original_untouched/289/723297.jpg	1	0.9%
https://static.tvmaze.com/uploads/images/original_untouched/360/901423.jpg	1	0.9%
https://static.tvmaze.com/uploads/images/original_untouched/289/722895.jpg	1	0.9%
Other values (26)	26	22.4%
(Missing)	80	69.0%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
https://static.tvmaze.com/uploads/images/original_untouched/289/723332.jpg	1	2.8%
https://static.tvmaze.com/uploads/images/original_untouched/289/722896.jpg	1	2.8%
https://static.tvmaze.com/uploads/images/original_untouched/293/734761.jpg	1	2.8%
https://static.tvmaze.com/uploads/images/original_untouched/290/726350.jpg	1	2.8%
https://static.tvmaze.com/uploads/images/original_untouched/289/723073.jpg	1	2.8%
https://static.tvmaze.com/uploads/images/original_untouched/288/721855.jpg	1	2.8%
https://static.tvmaze.com/uploads/images/original_untouched/300/752218.jpg	1	2.8%
https://static.tvmaze.com/uploads/images/original_untouched/370/926331.jpg	1	2.8%
https://static.tvmaze.com/uploads/images/original_untouched/370/926359.jpg	1	2.8%
https://static.tvmaze.com/uploads/images/original_untouched/289/722744.jpg	1	2.8%
Other values (26)	26	72.2%

Most occurring characters

Value	Count	Frequency (%)
/	252	9.5%
t	216	8.1%
a	180	6.8%
s	144	5.4%
o	144	5.4%
i	144	5.4%
m	108	4.1%
u	108	4.1%
e	108	4.1%
g	108	4.1%
Other values (23)	1152	43.2%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	1908	71.6%
Other Punctuation	396	14.9%
Decimal Number	324	12.2%
Connector Punctuation	36	1.4%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
t	216	11.3%
a	180	9.4%
s	144	7.5%
o	144	7.5%
i	144	7.5%
m	108	5.7%
u	108	5.7%
e	108	5.7%
g	108	5.7%
c	108	5.7%
Other values (9)	540	28.3%

Decimal Number

Value	Count	Frequency (%)
2	86	26.5%
8	48	14.8%
7	47	14.5%
9	43	13.3%
3	42	13.0%
0	18	5.6%
5	11	3.4%
6	10	3.1%
1	10	3.1%
4	9	2.8%

Other Punctuation

Value	Count	Frequency (%)
/	252	63.6%
.	108	27.3%
:	36	9.1%

Connector Punctuation

Value	Count	Frequency (%)
_	36	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	1908	71.6%
Common	756	28.4%

Most frequent character per script

Latin

Value	Count	Frequency (%)
t	216	11.3%
a	180	9.4%
s	144	7.5%
o	144	7.5%
i	144	7.5%
m	108	5.7%
u	108	5.7%
e	108	5.7%
g	108	5.7%
c	108	5.7%
Other values (9)	540	28.3%

Common

Value	Count	Frequency (%)
/	252	33.3%
.	108	14.3%
2	86	11.4%
8	48	6.3%
7	47	6.2%
9	43	5.7%
3	42	5.6%
_	36	4.8%
:	36	4.8%
0	18	2.4%
Other values (4)	40	5.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2664	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
/	252	9.5%
t	216	8.1%
a	180	6.8%
s	144	5.4%
o	144	5.4%
i	144	5.4%
m	108	4.1%
u	108	4.1%
e	108	4.1%
g	108	4.1%
Other values (23)	1152	43.2%

_links.self.href
Categorical

HIGH CARDINALITY
UNIFORM
UNIQUE

Distinct	116
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	1.0 KiB

https://api.tvmaze.com/episodes/2179613	1
https://api.tvmaze.com/episodes/1987033	1
https://api.tvmaze.com/episodes/1997509	1
https://api.tvmaze.com/episodes/1997508	1
https://api.tvmaze.com/episodes/1988063	1
Other values (111)	111

Length

Max length	39
Median length	39
Mean length	39
Min length	39

Characters and Unicode

Total characters	4524
Distinct characters	26
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	116 ?
Unique (%)	100.0%

Sample

1st row	https://api.tvmaze.com/episodes/2179613
2nd row	https://api.tvmaze.com/episodes/1983259
3rd row	https://api.tvmaze.com/episodes/1983260
4th row	https://api.tvmaze.com/episodes/1997413
5th row	https://api.tvmaze.com/episodes/2386107

Common Values

Value	Count	Frequency (%)
https://api.tvmaze.com/episodes/2179613	1	0.9%
https://api.tvmaze.com/episodes/1987033	1	0.9%
https://api.tvmaze.com/episodes/1997509	1	0.9%
https://api.tvmaze.com/episodes/1997508	1	0.9%
https://api.tvmaze.com/episodes/1988063	1	0.9%
https://api.tvmaze.com/episodes/1988062	1	0.9%
https://api.tvmaze.com/episodes/1987999	1	0.9%
https://api.tvmaze.com/episodes/1987998	1	0.9%
https://api.tvmaze.com/episodes/1987997	1	0.9%
https://api.tvmaze.com/episodes/1987996	1	0.9%
Other values (106)	106	91.4%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
https://api.tvmaze.com/episodes/2179613	1	0.9%
https://api.tvmaze.com/episodes/1977324	1	0.9%
https://api.tvmaze.com/episodes/1983260	1	0.9%
https://api.tvmaze.com/episodes/1997413	1	0.9%
https://api.tvmaze.com/episodes/2386107	1	0.9%
https://api.tvmaze.com/episodes/2095628	1	0.9%
https://api.tvmaze.com/episodes/2096298	1	0.9%
https://api.tvmaze.com/episodes/2030020	1	0.9%
https://api.tvmaze.com/episodes/2066369	1	0.9%
https://api.tvmaze.com/episodes/2071481	1	0.9%
Other values (106)	106	91.4%

Most occurring characters

Value	Count	Frequency (%)
/	464	10.3%
p	348	7.7%
s	348	7.7%
e	348	7.7%
t	348	7.7%
o	232	5.1%
a	232	5.1%
i	232	5.1%
.	232	5.1%
m	232	5.1%
Other values (16)	1508	33.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	2900	64.1%
Other Punctuation	812	17.9%
Decimal Number	812	17.9%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
p	348	12.0%
s	348	12.0%
e	348	12.0%
t	348	12.0%
o	232	8.0%
a	232	8.0%
i	232	8.0%
m	232	8.0%
h	116	4.0%
d	116	4.0%
Other values (3)	348	12.0%

Decimal Number

Value	Count	Frequency (%)
9	161	19.8%
1	147	18.1%
7	81	10.0%
8	81	10.0%
2	73	9.0%
0	67	8.3%
6	58	7.1%
5	51	6.3%
3	50	6.2%
4	43	5.3%

Other Punctuation

Value	Count	Frequency (%)
/	464	57.1%
.	232	28.6%
:	116	14.3%

Most occurring scripts

Value	Count	Frequency (%)
Latin	2900	64.1%
Common	1624	35.9%

Most frequent character per script

Common

Value	Count	Frequency (%)
/	464	28.6%
.	232	14.3%
9	161	9.9%
1	147	9.1%
:	116	7.1%
7	81	5.0%
8	81	5.0%
2	73	4.5%
0	67	4.1%
6	58	3.6%
Other values (3)	144	8.9%

Latin

Value	Count	Frequency (%)
p	348	12.0%
s	348	12.0%
e	348	12.0%
t	348	12.0%
o	232	8.0%
a	232	8.0%
i	232	8.0%
m	232	8.0%
h	116	4.0%
d	116	4.0%
Other values (3)	348	12.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	4524	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
/	464	10.3%
p	348	7.7%
s	348	7.7%
e	348	7.7%
t	348	7.7%
o	232	5.1%
a	232	5.1%
i	232	5.1%
.	232	5.1%
m	232	5.1%
Other values (16)	1508	33.3%

_embedded.show.id
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	72
Distinct (%)	62.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	47710.31034

Minimum	1825
Maximum	62127
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.0 KiB

Quantile statistics

Minimum	1825
5-th percentile	13047.75
Q1	49191.25
median	52159
Q3	52780
95-th percentile	58056.5
Maximum	62127
Range	60302
Interquartile range (IQR)	3588.75

Descriptive statistics

Standard deviation	13308.74493
Coefficient of variation (CV)	0.2789490329
Kurtosis	5.24347448
Mean	47710.31034
Median Absolute Deviation (MAD)	1154.5
Skewness	-2.420417622
Sum	5534396
Variance	177122691.6
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
52743	8	6.9%
52780	6	5.2%
52521	6	5.2%
51928	6	5.2%
51994	4	3.4%
52110	3	2.6%
52471	3	2.6%
1825	3	2.6%
57030	3	2.6%
52524	2	1.7%
Other values (62)	72	62.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1825	3	2.6%
2266	1	0.9%
2504	1	0.9%
6441	1	0.9%
15250	2	1.7%
17356	1	0.9%
26268	1	0.9%
28346	1	0.9%
30606	1	0.9%
33944	1	0.9%

Value	Count	Frequency (%)
62127	1	0.9%
61755	1	0.9%
58689	2	1.7%
58426	1	0.9%
58367	1	0.9%
57953	1	0.9%
57689	1	0.9%
57478	1	0.9%
57030	3	2.6%
56848	1	0.9%

_embedded.show.url
Categorical

HIGH CARDINALITY
HIGH CORRELATION

Distinct	72
Distinct (%)	62.1%
Missing	0
Missing (%)	0.0%
Memory size	1.0 KiB

https://www.tvmaze.com/shows/52743/the-penalty-zone	8
https://www.tvmaze.com/shows/52780/mermaid-prince	6
https://www.tvmaze.com/shows/52521/rompan-todo-la-historia-del-rock-en-america-latina	6
https://www.tvmaze.com/shows/51928/anitta-made-in-honorio	6
https://www.tvmaze.com/shows/51994/the-ripper	4
Other values (67)	86

Length

Max length	85
Median length	60.5
Mean length	52.88793103
Min length	41

Characters and Unicode

Total characters	6135
Distinct characters	39
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	52 ?
Unique (%)	44.8%

Sample

1st row	https://www.tvmaze.com/shows/49630/kontakty
2nd row	https://www.tvmaze.com/shows/52316/mertvye-dusi
3rd row	https://www.tvmaze.com/shows/52316/mertvye-dusi
4th row	https://www.tvmaze.com/shows/48395/wan-sheng-jie
5th row	https://www.tvmaze.com/shows/49206/xian-feng-jian-yu-lu

Common Values

Value	Count	Frequency (%)
https://www.tvmaze.com/shows/52743/the-penalty-zone	8	6.9%
https://www.tvmaze.com/shows/52780/mermaid-prince	6	5.2%
https://www.tvmaze.com/shows/52521/rompan-todo-la-historia-del-rock-en-america-latina	6	5.2%
https://www.tvmaze.com/shows/51928/anitta-made-in-honorio	6	5.2%
https://www.tvmaze.com/shows/51994/the-ripper	4	3.4%
https://www.tvmaze.com/shows/52110/how-to-ruin-christmas	3	2.6%
https://www.tvmaze.com/shows/52471/the-expanse-aftershow	3	2.6%
https://www.tvmaze.com/shows/1825/the-expanse	3	2.6%
https://www.tvmaze.com/shows/57030/gjor-det-sjol	3	2.6%
https://www.tvmaze.com/shows/52524/forever-love	2	1.7%
Other values (62)	72	62.1%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
https://www.tvmaze.com/shows/52743/the-penalty-zone	8	6.9%
https://www.tvmaze.com/shows/52521/rompan-todo-la-historia-del-rock-en-america-latina	6	5.2%
https://www.tvmaze.com/shows/51928/anitta-made-in-honorio	6	5.2%
https://www.tvmaze.com/shows/52780/mermaid-prince	6	5.2%
https://www.tvmaze.com/shows/51994/the-ripper	4	3.4%
https://www.tvmaze.com/shows/52110/how-to-ruin-christmas	3	2.6%
https://www.tvmaze.com/shows/52471/the-expanse-aftershow	3	2.6%
https://www.tvmaze.com/shows/1825/the-expanse	3	2.6%
https://www.tvmaze.com/shows/57030/gjor-det-sjol	3	2.6%
https://www.tvmaze.com/shows/52108/psych-hunter	2	1.7%
Other values (62)	72	62.1%

Most occurring characters

Value	Count	Frequency (%)
/	580	9.5%
w	492	8.0%
t	491	8.0%
s	439	7.2%
o	375	6.1%
e	337	5.5%
h	313	5.1%
m	308	5.0%
a	284	4.6%
-	265	4.3%
Other values (29)	2251	36.7%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	4360	71.1%
Other Punctuation	928	15.1%
Decimal Number	582	9.5%
Dash Punctuation	265	4.3%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
w	492	11.3%
t	491	11.3%
s	439	10.1%
o	375	8.6%
e	337	7.7%
h	313	7.2%
m	308	7.1%
a	284	6.5%
p	168	3.9%
c	167	3.8%
Other values (15)	986	22.6%

Decimal Number

Value	Count	Frequency (%)
5	113	19.4%
2	90	15.5%
4	66	11.3%
1	63	10.8%
7	52	8.9%
0	48	8.2%
8	41	7.0%
6	41	7.0%
3	36	6.2%
9	32	5.5%

Other Punctuation

Value	Count	Frequency (%)
/	580	62.5%
.	232	25.0%
:	116	12.5%

Dash Punctuation

Value	Count	Frequency (%)
-	265	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	4360	71.1%
Common	1775	28.9%

Most frequent character per script

Latin

Value	Count	Frequency (%)
w	492	11.3%
t	491	11.3%
s	439	10.1%
o	375	8.6%
e	337	7.7%
h	313	7.2%
m	308	7.1%
a	284	6.5%
p	168	3.9%
c	167	3.8%
Other values (15)	986	22.6%

Common

Value	Count	Frequency (%)
/	580	32.7%
-	265	14.9%
.	232	13.1%
:	116	6.5%
5	113	6.4%
2	90	5.1%
4	66	3.7%
1	63	3.5%
7	52	2.9%
0	48	2.7%
Other values (4)	150	8.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	6135	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
/	580	9.5%
w	492	8.0%
t	491	8.0%
s	439	7.2%
o	375	6.1%
e	337	5.5%
h	313	5.1%
m	308	5.0%
a	284	4.6%
-	265	4.3%
Other values (29)	2251	36.7%

_embedded.show.name
Categorical

HIGH CARDINALITY
HIGH CORRELATION

Distinct	72
Distinct (%)	62.1%
Missing	0
Missing (%)	0.0%
Memory size	1.0 KiB

The Penalty Zone	8
Mermaid Prince	6
Rompan todo: La historia del rock en América Latina	6
Anitta: Made in Honório	6
The Ripper	4
Other values (67)	86

Length

Max length	51
Median length	26
Mean length	18.1637931
Min length	6

Characters and Unicode

Total characters	2107
Distinct characters	94
Distinct categories	5 ?
Distinct scripts	3 ?
Distinct blocks	3 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	52 ?
Unique (%)	44.8%

Sample

1st row	Контакты
2nd row	Мёртвые души
3rd row	Мёртвые души
4th row	Wan Sheng Jie
5th row	Xian Feng Jian Yu Lu

Common Values

Value	Count	Frequency (%)
The Penalty Zone	8	6.9%
Mermaid Prince	6	5.2%
Rompan todo: La historia del rock en América Latina	6	5.2%
Anitta: Made in Honório	6	5.2%
The Ripper	4	3.4%
How to Ruin Christmas	3	2.6%
The Expanse Aftershow	3	2.6%
The Expanse	3	2.6%
Gjør det sjøl	3	2.6%
Forever Love	2	1.7%
Other values (62)	72	62.1%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
the	28	7.3%
in	8	2.1%
penalty	8	2.1%
zone	8	2.1%
love	7	1.8%
la	7	1.8%
mermaid	6	1.6%
américa	6	1.6%
expanse	6	1.6%
honório	6	1.6%
Other values (186)	291	76.4%

Most occurring characters

Value	Count	Frequency (%)
	265	12.6%
e	196	9.3%
a	136	6.5%
i	119	5.6%
o	118	5.6%
n	117	5.6%
r	111	5.3%
t	94	4.5%
h	66	3.1%
s	64	3.0%
Other values (84)	821	39.0%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	1488	70.6%
Uppercase Letter	321	15.2%
Space Separator	265	12.6%
Other Punctuation	25	1.2%
Decimal Number	8	0.4%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	196	13.2%
a	136	9.1%
i	119	8.0%
o	118	7.9%
n	117	7.9%
r	111	7.5%
t	94	6.3%
h	66	4.4%
s	64	4.3%
l	44	3.0%
Other values (43)	423	28.4%

Uppercase Letter

Value	Count	Frequency (%)
T	40	12.5%
M	29	9.0%
A	24	7.5%
L	23	7.2%
R	21	6.5%
P	21	6.5%
S	19	5.9%
H	15	4.7%
Y	13	4.0%
C	13	4.0%
Other values (21)	103	32.1%

Decimal Number

Value	Count	Frequency (%)
0	3	37.5%
2	2	25.0%
1	1	12.5%
5	1	12.5%
3	1	12.5%

Other Punctuation

Value	Count	Frequency (%)
:	19	76.0%
'	4	16.0%
.	1	4.0%
,	1	4.0%

Space Separator

Value	Count	Frequency (%)
	265	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	1707	81.0%
Common	298	14.1%
Cyrillic	102	4.8%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	196	11.5%
a	136	8.0%
i	119	7.0%
o	118	6.9%
n	117	6.9%
r	111	6.5%
t	94	5.5%
h	66	3.9%
s	64	3.7%
l	44	2.6%
Other values (42)	642	37.6%

Cyrillic

Value	Count	Frequency (%)
т	9	8.8%
р	8	7.8%
е	8	7.8%
о	7	6.9%
а	7	6.9%
к	6	5.9%
и	6	5.9%
у	4	3.9%
д	4	3.9%
н	4	3.9%
Other values (22)	39	38.2%

Common

Value	Count	Frequency (%)
	265	88.9%
:	19	6.4%
'	4	1.3%
0	3	1.0%
2	2	0.7%
1	1	0.3%
.	1	0.3%
5	1	0.3%
,	1	0.3%
3	1	0.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1984	94.2%
Cyrillic	102	4.8%
None	21	1.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	265	13.4%
e	196	9.9%
a	136	6.9%
i	119	6.0%
o	118	5.9%
n	117	5.9%
r	111	5.6%
t	94	4.7%
h	66	3.3%
s	64	3.2%
Other values (49)	698	35.2%

Cyrillic

Value	Count	Frequency (%)
т	9	8.8%
р	8	7.8%
е	8	7.8%
о	7	6.9%
а	7	6.9%
к	6	5.9%
и	6	5.9%
у	4	3.9%
д	4	3.9%
н	4	3.9%
Other values (22)	39	38.2%

None

Value	Count	Frequency (%)
ø	9	42.9%
é	6	28.6%
ó	6	28.6%

_embedded.show.type
Categorical

HIGH CORRELATION

Distinct	9
Distinct (%)	7.8%
Missing	0
Missing (%)	0.0%
Memory size	1.0 KiB

Scripted	53
Documentary	21
Talk Show	13
Reality	10
Animation	9
Other values (4)	10

Length

Max length	11
Median length	9
Mean length	8.534482759
Min length	4

Characters and Unicode

Total characters	990
Distinct characters	27
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Game Show
2nd row	Scripted
3rd row	Scripted
4th row	Animation
5th row	Animation

Common Values

Value	Count	Frequency (%)
Scripted	53	45.7%
Documentary	21	18.1%
Talk Show	13	11.2%
Reality	10	8.6%
Animation	9	7.8%
Game Show	3	2.6%
Sports	3	2.6%
News	2	1.7%
Variety	2	1.7%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
scripted	53	40.2%
documentary	21	15.9%
show	16	12.1%
talk	13	9.8%
reality	10	7.6%
animation	9	6.8%
game	3	2.3%
sports	3	2.3%
news	2	1.5%
variety	2	1.5%

Most occurring characters

Value	Count	Frequency (%)
t	98	9.9%
e	91	9.2%
i	83	8.4%
r	79	8.0%
c	74	7.5%
S	72	7.3%
a	58	5.9%
p	56	5.7%
d	53	5.4%
o	49	4.9%
Other values (17)	277	28.0%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	842	85.1%
Uppercase Letter	132	13.3%
Space Separator	16	1.6%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
t	98	11.6%
e	91	10.8%
i	83	9.9%
r	79	9.4%
c	74	8.8%
a	58	6.9%
p	56	6.7%
d	53	6.3%
o	49	5.8%
n	39	4.6%
Other values (8)	162	19.2%

Uppercase Letter

Value	Count	Frequency (%)
S	72	54.5%
D	21	15.9%
T	13	9.8%
R	10	7.6%
A	9	6.8%
G	3	2.3%
N	2	1.5%
V	2	1.5%

Space Separator

Value	Count	Frequency (%)
	16	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	974	98.4%
Common	16	1.6%

Most frequent character per script

Latin

Value	Count	Frequency (%)
t	98	10.1%
e	91	9.3%
i	83	8.5%
r	79	8.1%
c	74	7.6%
S	72	7.4%
a	58	6.0%
p	56	5.7%
d	53	5.4%
o	49	5.0%
Other values (16)	261	26.8%

Common

Value	Count	Frequency (%)
	16	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	990	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
t	98	9.9%
e	91	9.2%
i	83	8.4%
r	79	8.0%
c	74	7.5%
S	72	7.3%
a	58	5.9%
p	56	5.7%
d	53	5.4%
o	49	4.9%
Other values (17)	277	28.0%

_embedded.show.language
Categorical

HIGH CORRELATION
MISSING

Distinct	15
Distinct (%)	13.6%
Missing	6
Missing (%)	5.2%
Memory size	1.0 KiB

Chinese	39
English	29
Norwegian	8
Russian	7
Spanish	7
Other values (10)	20

Length

Max length	10
Median length	7
Mean length	7.263636364
Min length	4

Characters and Unicode

Total characters	799
Distinct characters	32
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	5 ?
Unique (%)	4.5%

Sample

1st row	Russian
2nd row	Russian
3rd row	Russian
4th row	Chinese
5th row	Chinese

Common Values

Value	Count	Frequency (%)
Chinese	39	33.6%
English	29	25.0%
Norwegian	8	6.9%
Russian	7	6.0%
Spanish	7	6.0%
Portuguese	7	6.0%
Korean	2	1.7%
Arabic	2	1.7%
Japanese	2	1.7%
Thai	2	1.7%
Other values (5)	5	4.3%
(Missing)	6	5.2%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
chinese	39	35.5%
english	29	26.4%
norwegian	8	7.3%
russian	7	6.4%
spanish	7	6.4%
portuguese	7	6.4%
korean	2	1.8%
arabic	2	1.8%
japanese	2	1.8%
thai	2	1.8%
Other values (5)	5	4.5%

Most occurring characters

Value	Count	Frequency (%)
e	107	13.4%
n	99	12.4%
s	98	12.3%
i	97	12.1%
h	80	10.0%
g	45	5.6%
C	39	4.9%
a	38	4.8%
E	29	3.6%
l	29	3.6%
Other values (22)	138	17.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	689	86.2%
Uppercase Letter	110	13.8%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	107	15.5%
n	99	14.4%
s	98	14.2%
i	97	14.1%
h	80	11.6%
g	45	6.5%
a	38	5.5%
l	29	4.2%
u	23	3.3%
r	22	3.2%
Other values (8)	51	7.4%

Uppercase Letter

Value	Count	Frequency (%)
C	39	35.5%
E	29	26.4%
N	8	7.3%
P	7	6.4%
S	7	6.4%
R	7	6.4%
K	3	2.7%
A	2	1.8%
J	2	1.8%
T	2	1.8%
Other values (4)	4	3.6%

Most occurring scripts

Value	Count	Frequency (%)
Latin	799	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	107	13.4%
n	99	12.4%
s	98	12.3%
i	97	12.1%
h	80	10.0%
g	45	5.6%
C	39	4.9%
a	38	4.8%
E	29	3.6%
l	29	3.6%
Other values (22)	138	17.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	799	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	107	13.4%
n	99	12.4%
s	98	12.3%
i	97	12.1%
h	80	10.0%
g	45	5.6%
C	39	4.9%
a	38	4.8%
E	29	3.6%
l	29	3.6%
Other values (22)	138	17.3%

_embedded.show.genres
Unsupported

REJECTED
UNSUPPORTED

Missing	0
Missing (%)	0.0%
Memory size	1.0 KiB

_embedded.show.status
Categorical

HIGH CORRELATION

Distinct	3
Distinct (%)	2.6%
Missing	0
Missing (%)	0.0%
Memory size	1.0 KiB

Ended	65
Running	45
To Be Determined	6

Length

Max length	16
Median length	5
Mean length	6.344827586
Min length	5

Characters and Unicode

Total characters	736
Distinct characters	16
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Running
2nd row	Ended
3rd row	Ended
4th row	Running
5th row	Running

Common Values

Value	Count	Frequency (%)
Ended	65	56.0%
Running	45	38.8%
To Be Determined	6	5.2%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
ended	65	50.8%
running	45	35.2%
to	6	4.7%
be	6	4.7%
determined	6	4.7%

Most occurring characters

Value	Count	Frequency (%)
n	206	28.0%
d	136	18.5%
e	89	12.1%
E	65	8.8%
i	51	6.9%
R	45	6.1%
u	45	6.1%
g	45	6.1%
	12	1.6%
T	6	0.8%
Other values (6)	36	4.9%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	596	81.0%
Uppercase Letter	128	17.4%
Space Separator	12	1.6%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
n	206	34.6%
d	136	22.8%
e	89	14.9%
i	51	8.6%
u	45	7.6%
g	45	7.6%
o	6	1.0%
t	6	1.0%
r	6	1.0%
m	6	1.0%

Uppercase Letter

Value	Count	Frequency (%)
E	65	50.8%
R	45	35.2%
T	6	4.7%
B	6	4.7%
D	6	4.7%

Space Separator

Value	Count	Frequency (%)
	12	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	724	98.4%
Common	12	1.6%

Most frequent character per script

Latin

Value	Count	Frequency (%)
n	206	28.5%
d	136	18.8%
e	89	12.3%
E	65	9.0%
i	51	7.0%
R	45	6.2%
u	45	6.2%
g	45	6.2%
T	6	0.8%
o	6	0.8%
Other values (5)	30	4.1%

Common

Value	Count	Frequency (%)
	12	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	736	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
n	206	28.0%
d	136	18.5%
e	89	12.1%
E	65	8.8%
i	51	6.9%
R	45	6.1%
u	45	6.1%
g	45	6.1%
	12	1.6%
T	6	0.8%
Other values (6)	36	4.9%

_embedded.show.runtime
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	20
Distinct (%)	28.6%
Missing	46
Missing (%)	39.7%
Infinite	0
Infinite (%)	0.0%
Mean	40.95714286

Minimum	2
Maximum	120
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.0 KiB

Quantile statistics

Minimum	2
5-th percentile	5.9
Q1	23.5
median	45
Q3	45
95-th percentile	106.5
Maximum	120
Range	118
Interquartile range (IQR)	21.5

Descriptive statistics

Standard deviation	26.38424855
Coefficient of variation (CV)	0.6441916283
Kurtosis	2.860472733
Mean	40.95714286
Median Absolute Deviation (MAD)	13.5
Skewness	1.419375647
Sum	2867
Variance	696.1285714
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=20)

Value	Count	Frequency (%)
45	31	26.7%
30	5	4.3%
20	5	4.3%
120	4	3.4%
7	3	2.6%
60	3	2.6%
25	3	2.6%
5	2	1.7%
43	2	1.7%
90	2	1.7%
Other values (10)	10	8.6%
(Missing)	46	39.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
2	1	0.9%
4	1	0.9%
5	2	1.7%
7	3	2.6%
8	1	0.9%
12	1	0.9%
16	1	0.9%
18	1	0.9%
19	1	0.9%
20	5	4.3%

Value	Count	Frequency (%)
120	4	3.4%
90	2	1.7%
60	3	2.6%
55	1	0.9%
45	31	26.7%
43	2	1.7%
33	1	0.9%
30	5	4.3%
25	3	2.6%
23	1	0.9%

_embedded.show.averageRuntime
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	33
Distinct (%)	30.0%
Missing	6
Missing (%)	5.2%
Infinite	0
Infinite (%)	0.0%
Mean	38.18181818

Minimum	2
Maximum	120
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.0 KiB

Quantile statistics

Minimum	2
5-th percentile	5
Q1	20.75
median	45
Q3	45
95-th percentile	70.7
Maximum	120
Range	118
Interquartile range (IQR)	24.25

Descriptive statistics

Standard deviation	23.2703228
Coefficient of variation (CV)	0.6094608353
Kurtosis	3.237155019
Mean	38.18181818
Median Absolute Deviation (MAD)	13.5
Skewness	1.238431596
Sum	4200
Variance	541.5079233
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=33)

Value	Count	Frequency (%)
45	30	25.9%
30	10	8.6%
50	9	7.8%
5	5	4.3%
20	5	4.3%
25	5	4.3%
7	4	3.4%
49	4	3.4%
12	3	2.6%
32	3	2.6%
Other values (23)	32	27.6%
(Missing)	6	5.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
2	1	0.9%
4	1	0.9%
5	5	4.3%
7	4	3.4%
8	1	0.9%
9	1	0.9%
11	2	1.7%
12	3	2.6%
14	1	0.9%
15	1	0.9%

Value	Count	Frequency (%)
120	3	2.6%
110	1	0.9%
90	1	0.9%
77	1	0.9%
63	1	0.9%
60	3	2.6%
59	1	0.9%
55	3	2.6%
50	9	7.8%
49	4	3.4%

_embedded.show.premiered
Categorical

HIGH CARDINALITY
HIGH CORRELATION

Distinct	58
Distinct (%)	50.0%
Missing	0
Missing (%)	0.0%
Memory size	1.0 KiB

2020-12-16	32
2020-11-25	6
2020-11-23	4
2020-12-14	4
2020-12-09	3
Other values (53)	67

Length

Max length	10
Median length	10
Mean length	10
Min length	10

Characters and Unicode

Total characters	1160
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	43 ?
Unique (%)	37.1%

Sample

1st row	2019-04-03
2nd row	2020-12-09
3rd row	2020-12-09
4th row	2020-04-01
5th row	2020-07-11

Common Values

Value	Count	Frequency (%)
2020-12-16	32	27.6%
2020-11-25	6	5.2%
2020-11-23	4	3.4%
2020-12-14	4	3.4%
2020-12-09	3	2.6%
2020-12-08	3	2.6%
2020-11-18	3	2.6%
2015-12-14	3	2.6%
2020-07-08	3	2.6%
2013-12-24	2	1.7%
Other values (48)	53	45.7%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
2020-12-16	32	27.6%
2020-11-25	6	5.2%
2020-11-23	4	3.4%
2020-12-14	4	3.4%
2020-12-09	3	2.6%
2020-12-08	3	2.6%
2020-11-18	3	2.6%
2015-12-14	3	2.6%
2020-07-08	3	2.6%
2020-12-02	2	1.7%
Other values (48)	53	45.7%

Most occurring characters

Value	Count	Frequency (%)
2	288	24.8%
0	264	22.8%
-	232	20.0%
1	215	18.5%
6	39	3.4%
9	29	2.5%
4	23	2.0%
8	23	2.0%
3	20	1.7%
5	18	1.6%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	928	80.0%
Dash Punctuation	232	20.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
2	288	31.0%
0	264	28.4%
1	215	23.2%
6	39	4.2%
9	29	3.1%
4	23	2.5%
8	23	2.5%
3	20	2.2%
5	18	1.9%
7	9	1.0%

Dash Punctuation

Value	Count	Frequency (%)
-	232	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	1160	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
2	288	24.8%
0	264	22.8%
-	232	20.0%
1	215	18.5%
6	39	3.4%
9	29	2.5%
4	23	2.0%
8	23	2.0%
3	20	1.7%
5	18	1.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1160	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
2	288	24.8%
0	264	22.8%
-	232	20.0%
1	215	18.5%
6	39	3.4%
9	29	2.5%
4	23	2.0%
8	23	2.0%
3	20	1.7%
5	18	1.6%

_embedded.show.ended
Categorical

HIGH CORRELATION
MISSING

Distinct	17
Distinct (%)	26.2%
Missing	51
Missing (%)	44.0%
Memory size	1.0 KiB

2020-12-16	27
2021-01-09	8
2020-12-30	5
2020-12-22	4
2021-01-05	4
Other values (12)	17

Length

Max length	10
Median length	10
Mean length	10
Min length	10

Characters and Unicode

Total characters	650
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	8 ?
Unique (%)	12.3%

Sample

1st row	2020-12-16
2nd row	2020-12-16
3rd row	2021-01-06
4th row	2020-12-16
5th row	2021-01-27

Common Values

Value	Count	Frequency (%)
2020-12-16	27	23.3%
2021-01-09	8	6.9%
2020-12-30	5	4.3%
2020-12-22	4	3.4%
2021-01-05	4	3.4%
2022-01-14	3	2.6%
2021-01-27	2	1.7%
2021-01-14	2	1.7%
2020-12-23	2	1.7%
2020-12-28	1	0.9%
Other values (7)	7	6.0%
(Missing)	51	44.0%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
2020-12-16	27	41.5%
2021-01-09	8	12.3%
2020-12-30	5	7.7%
2020-12-22	4	6.2%
2021-01-05	4	6.2%
2022-01-14	3	4.6%
2021-01-14	2	3.1%
2020-12-23	2	3.1%
2021-01-27	2	3.1%
2020-12-28	1	1.5%
Other values (7)	7	10.8%

Most occurring characters

Value	Count	Frequency (%)
2	191	29.4%
0	150	23.1%
-	130	20.0%
1	117	18.0%
6	28	4.3%
3	11	1.7%
9	8	1.2%
4	6	0.9%
5	4	0.6%
8	3	0.5%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	520	80.0%
Dash Punctuation	130	20.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
2	191	36.7%
0	150	28.8%
1	117	22.5%
6	28	5.4%
3	11	2.1%
9	8	1.5%
4	6	1.2%
5	4	0.8%
8	3	0.6%
7	2	0.4%

Dash Punctuation

Value	Count	Frequency (%)
-	130	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	650	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
2	191	29.4%
0	150	23.1%
-	130	20.0%
1	117	18.0%
6	28	4.3%
3	11	1.7%
9	8	1.2%
4	6	0.9%
5	4	0.6%
8	3	0.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	650	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
2	191	29.4%
0	150	23.1%
-	130	20.0%
1	117	18.0%
6	28	4.3%
3	11	1.7%
9	8	1.2%
4	6	0.9%
5	4	0.6%
8	3	0.5%

_embedded.show.officialSite
Categorical

HIGH CARDINALITY
HIGH CORRELATION
MISSING

Distinct	63
Distinct (%)	63.0%
Missing	16
Missing (%)	13.8%
Memory size	1.0 KiB

https://www.iqiyi.com/a_19rrhllpip.html	8
https://www.netflix.com/title/81302719	6
https://www.netflix.com/title/81006953	6
https://www.netflix.com/title/81006684	4
https://tv.nrk.no/serie/gjoer-det-sjoel	3
Other values (58)	73

Length

Max length	250
Median length	86
Mean length	50.35
Min length	18

Characters and Unicode

Total characters	5035
Distinct characters	74
Distinct categories	7 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	46 ?
Unique (%)	46.0%

Sample

1st row	https://www.youtube.com/playlist?list=PLZ1FUdedsrSJubWkFFh5vKHzawzQk1mYI
2nd row	https://www.ivi.ru/watch/mertvyie-dushi-2020
3rd row	https://www.ivi.ru/watch/mertvyie-dushi-2020
4th row	https://v.qq.com/detail/a/awnia0n2erqryf3.html
5th row	https://v.qq.com/detail/m/mzc00200hc38s5x.html

Common Values

Value	Count	Frequency (%)
https://www.iqiyi.com/a_19rrhllpip.html	8	6.9%
https://www.netflix.com/title/81302719	6	5.2%
https://www.netflix.com/title/81006953	6	5.2%
https://www.netflix.com/title/81006684	4	3.4%
https://tv.nrk.no/serie/gjoer-det-sjoel	3	2.6%
https://www.netflix.com/title/81294417	3	2.6%
https://www.youtube.com/playlist?list=PLWz2DO39R-NU5FW-aFfilRvyeg9oXMTgp	3	2.6%
https://www.amazon.com/dp/B07YL9WK1S/	3	2.6%
https://v.qq.com/detail/m/mzc00200dnvb1wh.html	2	1.7%
https://v.qq.com/detail/m/mzc00200tu76tos.html	2	1.7%
Other values (53)	60	51.7%
(Missing)	16	13.8%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
https://www.iqiyi.com/a_19rrhllpip.html	8	8.0%
https://www.netflix.com/title/81006953	6	6.0%
https://www.netflix.com/title/81302719	6	6.0%
https://www.netflix.com/title/81006684	4	4.0%
https://tv.nrk.no/serie/gjoer-det-sjoel	3	3.0%
https://www.netflix.com/title/81294417	3	3.0%
https://www.youtube.com/playlist?list=plwz2do39r-nu5fw-affilrvyeg9oxmtgp	3	3.0%
https://www.amazon.com/dp/b07yl9wk1s	3	3.0%
https://v.youku.com/v_show/id_xndk4otuxmzg1mg==.html?spm=a2hbt.13141534.0.13141534&s=6eefbfbd4befbfbd32ef	2	2.0%
https://v.qq.com/detail/m/mzc00200ur8p8zp.html	2	2.0%
Other values (53)	60	60.0%

Most occurring characters

Value	Count	Frequency (%)
/	404	8.0%
t	400	7.9%
w	221	4.4%
.	220	4.4%
s	212	4.2%
e	203	4.0%
h	188	3.7%
o	188	3.7%
i	180	3.6%
l	166	3.3%
Other values (64)	2653	52.7%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	3095	61.5%
Other Punctuation	882	17.5%
Decimal Number	613	12.2%
Uppercase Letter	340	6.8%
Dash Punctuation	50	1.0%
Math Symbol	31	0.6%
Connector Punctuation	24	0.5%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
t	400	12.9%
w	221	7.1%
s	212	6.8%
e	203	6.6%
h	188	6.1%
o	188	6.1%
i	180	5.8%
l	166	5.4%
m	164	5.3%
p	164	5.3%
Other values (16)	1009	32.6%

Uppercase Letter

Value	Count	Frequency (%)
B	51	15.0%
E	49	14.4%
A	21	6.2%
W	15	4.4%
L	14	4.1%
U	13	3.8%
F	13	3.8%
S	13	3.8%
Y	13	3.8%
D	13	3.8%
Other values (16)	125	36.8%

Decimal Number

Value	Count	Frequency (%)
0	110	17.9%
1	88	14.4%
8	86	14.0%
9	79	12.9%
2	48	7.8%
5	44	7.2%
4	44	7.2%
3	41	6.7%
6	37	6.0%
7	36	5.9%

Other Punctuation

Value	Count	Frequency (%)
/	404	45.8%
.	220	24.9%
%	131	14.9%
:	100	11.3%
?	16	1.8%
&	9	1.0%
#	1	0.1%
!	1	0.1%

Math Symbol

Value	Count	Frequency (%)
=	29	93.5%
+	2	6.5%

Dash Punctuation

Value	Count	Frequency (%)
-	50	100.0%

Connector Punctuation

Value	Count	Frequency (%)
_	24	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	3435	68.2%
Common	1600	31.8%

Most frequent character per script

Latin

Value	Count	Frequency (%)
t	400	11.6%
w	221	6.4%
s	212	6.2%
e	203	5.9%
h	188	5.5%
o	188	5.5%
i	180	5.2%
l	166	4.8%
m	164	4.8%
p	164	4.8%
Other values (42)	1349	39.3%

Common

Value	Count	Frequency (%)
/	404	25.2%
.	220	13.8%
%	131	8.2%
0	110	6.9%
:	100	6.2%
1	88	5.5%
8	86	5.4%
9	79	4.9%
-	50	3.1%
2	48	3.0%
Other values (12)	284	17.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	5035	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
/	404	8.0%
t	400	7.9%
w	221	4.4%
.	220	4.4%
s	212	4.2%
e	203	4.0%
h	188	3.7%
o	188	3.7%
i	180	3.6%
l	166	3.3%
Other values (64)	2653	52.7%

_embedded.show.schedule.time
Categorical

HIGH CORRELATION

Distinct	10
Distinct (%)	8.6%
Missing	0
Missing (%)	0.0%
Memory size	1.0 KiB

	82
20:00	15
21:00	7
10:00	4
00:00	2
Other values (5)	6

Length

Max length	5
Median length	0
Mean length	1.465517241
Min length	0

Characters and Unicode

Total characters	170
Distinct characters	10
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	4 ?
Unique (%)	3.4%

Sample

1st row
2nd row
3rd row
4th row	10:00
5th row	10:00

Common Values

Value	Count	Frequency (%)
	82	70.7%
20:00	15	12.9%
21:00	7	6.0%
10:00	4	3.4%
00:00	2	1.7%
19:00	2	1.7%
12:00	1	0.9%
06:00	1	0.9%
17:35	1	0.9%
08:30	1	0.9%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
20:00	15	44.1%
21:00	7	20.6%
10:00	4	11.8%
00:00	2	5.9%
19:00	2	5.9%
12:00	1	2.9%
06:00	1	2.9%
17:35	1	2.9%
08:30	1	2.9%

Most occurring characters

Value	Count	Frequency (%)
0	90	52.9%
:	34	20.0%
2	23	13.5%
1	15	8.8%
9	2	1.2%
3	2	1.2%
6	1	0.6%
7	1	0.6%
5	1	0.6%
8	1	0.6%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	136	80.0%
Other Punctuation	34	20.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	90	66.2%
2	23	16.9%
1	15	11.0%
9	2	1.5%
3	2	1.5%
6	1	0.7%
7	1	0.7%
5	1	0.7%
8	1	0.7%

Other Punctuation

Value	Count	Frequency (%)
:	34	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	170	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	90	52.9%
:	34	20.0%
2	23	13.5%
1	15	8.8%
9	2	1.2%
3	2	1.2%
6	1	0.6%
7	1	0.6%
5	1	0.6%
8	1	0.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	170	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	90	52.9%
:	34	20.0%
2	23	13.5%
1	15	8.8%
9	2	1.2%
3	2	1.2%
6	1	0.6%
7	1	0.6%
5	1	0.6%
8	1	0.6%

_embedded.show.schedule.days
Unsupported

REJECTED
UNSUPPORTED

Missing	0
Missing (%)	0.0%
Memory size	1.0 KiB

_embedded.show.rating.average
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	4
Distinct (%)	40.0%
Missing	106
Missing (%)	91.4%
Memory size	1.0 KiB

8.1	4
8.8	3
7.2	2
7.3	1

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	30
Distinct characters	6
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	10.0%

Sample

1st row	7.3
2nd row	8.8
3rd row	8.8
4th row	8.8
5th row	7.2

Common Values

Value	Count	Frequency (%)
8.1	4	3.4%
8.8	3	2.6%
7.2	2	1.7%
7.3	1	0.9%
(Missing)	106	91.4%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
8.1	4	40.0%
8.8	3	30.0%
7.2	2	20.0%
7.3	1	10.0%

Most occurring characters

Value	Count	Frequency (%)
8	10	33.3%
.	10	33.3%
1	4	13.3%
7	3	10.0%
2	2	6.7%
3	1	3.3%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	20	66.7%
Other Punctuation	10	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
8	10	50.0%
1	4	20.0%
7	3	15.0%
2	2	10.0%
3	1	5.0%

Other Punctuation

Value	Count	Frequency (%)
.	10	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	30	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
8	10	33.3%
.	10	33.3%
1	4	13.3%
7	3	10.0%
2	2	6.7%
3	1	3.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	30	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
8	10	33.3%
.	10	33.3%
1	4	13.3%
7	3	10.0%
2	2	6.7%
3	1	3.3%

_embedded.show.weight
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	43
Distinct (%)	37.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	31.40517241

Minimum	3
Maximum	100
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.0 KiB

Quantile statistics

Minimum	3
5-th percentile	6.75
Q1	20
median	23
Q3	35
95-th percentile	85
Maximum	100
Range	97
Interquartile range (IQR)	15

Descriptive statistics

Standard deviation	23.86810805
Coefficient of variation (CV)	0.7600056364
Kurtosis	1.301802925
Mean	31.40517241
Median Absolute Deviation (MAD)	8
Skewness	1.442827452
Sum	3643
Variance	569.6865817
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=43)

Value	Count	Frequency (%)
20	18	15.5%
23	8	6.9%
26	6	5.2%
22	5	4.3%
27	4	3.4%
80	4	3.4%
4	4	3.4%
47	4	3.4%
8	4	3.4%
24	3	2.6%
Other values (33)	56	48.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
3	1	0.9%
4	4	3.4%
6	1	0.9%
7	3	2.6%
8	4	3.4%
9	2	1.7%
10	1	0.9%
12	2	1.7%
13	2	1.7%
14	2	1.7%

Value	Count	Frequency (%)
100	3	2.6%
96	1	0.9%
90	1	0.9%
88	1	0.9%
84	1	0.9%
80	4	3.4%
74	1	0.9%
68	3	2.6%
61	1	0.9%
60	2	1.7%

_embedded.show.network
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing	116
Missing (%)	100.0%
Memory size	1.0 KiB

_embedded.show.webChannel.id
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	27
Distinct (%)	23.9%
Missing	3
Missing (%)	2.6%
Infinite	0
Infinite (%)	0.0%
Mean	98.01769912

Minimum	1
Maximum	516
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.0 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	21
median	67
Q3	104
95-th percentile	337
Maximum	516
Range	515
Interquartile range (IQR)	83

Descriptive statistics

Standard deviation	116.9934356
Coefficient of variation (CV)	1.193595
Kurtosis	2.403510081
Mean	98.01769912
Median Absolute Deviation (MAD)	46
Skewness	1.675537239
Sum	11076
Variance	13687.46397
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=27)

Value	Count	Frequency (%)
21	22	19.0%
1	20	17.2%
104	19	16.4%
67	10	8.6%
118	5	4.3%
238	4	3.4%
327	3	2.6%
3	3	2.6%
30	3	2.6%
226	2	1.7%
Other values (17)	22	19.0%
(Missing)	3	2.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	20	17.2%
3	3	2.6%
15	2	1.7%
20	1	0.9%
21	22	19.0%
30	3	2.6%
51	2	1.7%
67	10	8.6%
88	2	1.7%
99	1	0.9%

Value	Count	Frequency (%)
516	1	0.9%
498	1	0.9%
452	1	0.9%
379	2	1.7%
337	2	1.7%
327	3	2.6%
321	1	0.9%
311	1	0.9%
238	4	3.4%
226	2	1.7%

_embedded.show.webChannel.name
Categorical

HIGH CORRELATION
MISSING

Distinct	27
Distinct (%)	23.9%
Missing	3
Missing (%)	2.6%
Memory size	1.0 KiB

YouTube	22
Netflix	20
Tencent QQ	19
iQIYI	10
Youku	5
Other values (22)	37

Length

Max length	17
Median length	14
Mean length	7.796460177
Min length	3

Characters and Unicode

Total characters	881
Distinct characters	49
Distinct categories	6 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	12 ?
Unique (%)	10.6%

Sample

1st row	YouTube
2nd row	ivi
3rd row	ivi
4th row	Tencent QQ
5th row	Tencent QQ

Common Values

Value	Count	Frequency (%)
YouTube	22	19.0%
Netflix	20	17.2%
Tencent QQ	19	16.4%
iQIYI	10	8.6%
Youku	5	4.3%
NRK TV	4	3.4%
TV 2 Play	3	2.6%
Prime Video	3	2.6%
Naver TVCast	3	2.6%
Mango TV	2	1.7%
Other values (17)	22	19.0%
(Missing)	3	2.6%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
youtube	22	14.0%
netflix	20	12.7%
tencent	19	12.1%
qq	19	12.1%
tv	11	7.0%
iqiyi	10	6.4%
youku	5	3.2%
nrk	4	2.5%
play	3	1.9%
prime	3	1.9%
Other values (26)	41	26.1%

Most occurring characters

Value	Count	Frequency (%)
e	101	11.5%
u	60	6.8%
T	56	6.4%
i	54	6.1%
t	51	5.8%
Q	48	5.4%
o	45	5.1%
	44	5.0%
n	42	4.8%
Y	37	4.2%
Other values (39)	343	38.9%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	572	64.9%
Uppercase Letter	260	29.5%
Space Separator	44	5.0%
Decimal Number	3	0.3%
Math Symbol	1	0.1%
Other Punctuation	1	0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	101	17.7%
u	60	10.5%
i	54	9.4%
t	51	8.9%
o	45	7.9%
n	42	7.3%
l	34	5.9%
b	28	4.9%
c	23	4.0%
x	20	3.5%
Other values (14)	114	19.9%

Uppercase Letter

Value	Count	Frequency (%)
T	56	21.5%
Q	48	18.5%
Y	37	14.2%
N	31	11.9%
I	22	8.5%
V	19	7.3%
W	8	3.1%
P	8	3.1%
R	5	1.9%
C	4	1.5%
Other values (11)	22	8.5%

Space Separator

Value	Count	Frequency (%)
	44	100.0%

Decimal Number

Value	Count	Frequency (%)
2	3	100.0%

Math Symbol

Value	Count	Frequency (%)
+	1	100.0%

Other Punctuation

Value	Count	Frequency (%)
.	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	832	94.4%
Common	49	5.6%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	101	12.1%
u	60	7.2%
T	56	6.7%
i	54	6.5%
t	51	6.1%
Q	48	5.8%
o	45	5.4%
n	42	5.0%
Y	37	4.4%
l	34	4.1%
Other values (35)	304	36.5%

Common

Value	Count	Frequency (%)
	44	89.8%
2	3	6.1%
+	1	2.0%
.	1	2.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	881	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	101	11.5%
u	60	6.8%
T	56	6.4%
i	54	6.1%
t	51	5.8%
Q	48	5.4%
o	45	5.1%
	44	5.0%
n	42	4.8%
Y	37	4.2%
Other values (39)	343	38.9%

_embedded.show.webChannel.country
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing	116
Missing (%)	100.0%
Memory size	1.0 KiB

_embedded.show.webChannel.officialSite
Categorical

HIGH CORRELATION
MISSING

Distinct	11
Distinct (%)	12.9%
Missing	31
Missing (%)	26.7%
Memory size	1.0 KiB

https://www.youtube.com	22
https://www.netflix.com/	20
https://v.qq.com/	19
https://www.iq.com/	10
https://tv.naver.com/	3
Other values (6)	11

Length

Max length	30
Median length	24
Mean length	21.41176471
Min length	17

Characters and Unicode

Total characters	1820
Distinct characters	26
Distinct categories	2 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	2 ?
Unique (%)	2.4%

Sample

1st row	https://www.youtube.com
2nd row	https://www.ivi.ru/
3rd row	https://www.ivi.ru/
4th row	https://v.qq.com/
5th row	https://v.qq.com/

Common Values

Value	Count	Frequency (%)
https://www.youtube.com	22	19.0%
https://www.netflix.com/	20	17.2%
https://v.qq.com/	19	16.4%
https://www.iq.com/	10	8.6%
https://tv.naver.com/	3	2.6%
https://www.primevideo.com	3	2.6%
https://www.ivi.ru/	2	1.7%
https://w.mgtv.com/	2	1.7%
https://www.linetv.tw/	2	1.7%
http://www.wowpresentsplus.com	1	0.9%
(Missing)	31	26.7%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
https://www.youtube.com	22	25.9%
https://www.netflix.com	20	23.5%
https://v.qq.com	19	22.4%
https://www.iq.com	10	11.8%
https://tv.naver.com	3	3.5%
https://www.primevideo.com	3	3.5%
https://www.ivi.ru	2	2.4%
https://w.mgtv.com	2	2.4%
https://www.linetv.tw	2	2.4%
http://www.wowpresentsplus.com	1	1.2%

Most occurring characters

Value	Count	Frequency (%)
/	229	12.6%
t	222	12.2%
w	189	10.4%
.	170	9.3%
o	108	5.9%
p	91	5.0%
s	89	4.9%
m	86	4.7%
h	85	4.7%
:	85	4.7%
Other values (16)	466	25.6%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	1336	73.4%
Other Punctuation	484	26.6%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
t	222	16.6%
w	189	14.1%
o	108	8.1%
p	91	6.8%
s	89	6.7%
m	86	6.4%
h	85	6.4%
c	82	6.1%
e	56	4.2%
u	48	3.6%
Other values (13)	280	21.0%

Other Punctuation

Value	Count	Frequency (%)
/	229	47.3%
.	170	35.1%
:	85	17.6%

Most occurring scripts

Value	Count	Frequency (%)
Latin	1336	73.4%
Common	484	26.6%

Most frequent character per script

Latin

Value	Count	Frequency (%)
t	222	16.6%
w	189	14.1%
o	108	8.1%
p	91	6.8%
s	89	6.7%
m	86	6.4%
h	85	6.4%
c	82	6.1%
e	56	4.2%
u	48	3.6%
Other values (13)	280	21.0%

Common

Value	Count	Frequency (%)
/	229	47.3%
.	170	35.1%
:	85	17.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1820	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
/	229	12.6%
t	222	12.2%
w	189	10.4%
.	170	9.3%
o	108	5.9%
p	91	5.0%
s	89	4.9%
m	86	4.7%
h	85	4.7%
:	85	4.7%
Other values (16)	466	25.6%

_embedded.show.dvdCountry
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing	116
Missing (%)	100.0%
Memory size	1.0 KiB

_embedded.show.externals.tvrage
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	3
Distinct (%)	60.0%
Missing	111
Missing (%)	95.7%
Memory size	1.0 KiB

41967.0	3
19056.0	1
25100.0	1

Length

Max length	7
Median length	7
Mean length	7
Min length	7

Characters and Unicode

Total characters	35
Distinct characters	9
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	2 ?
Unique (%)	40.0%

Sample

1st row	41967.0
2nd row	41967.0
3rd row	41967.0
4th row	19056.0
5th row	25100.0

Common Values

Value	Count	Frequency (%)
41967.0	3	2.6%
19056.0	1	0.9%
25100.0	1	0.9%
(Missing)	111	95.7%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
41967.0	3	60.0%
19056.0	1	20.0%
25100.0	1	20.0%

Most occurring characters

Value	Count	Frequency (%)
0	8	22.9%
1	5	14.3%
.	5	14.3%
9	4	11.4%
6	4	11.4%
4	3	8.6%
7	3	8.6%
5	2	5.7%
2	1	2.9%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	30	85.7%
Other Punctuation	5	14.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	8	26.7%
1	5	16.7%
9	4	13.3%
6	4	13.3%
4	3	10.0%
7	3	10.0%
5	2	6.7%
2	1	3.3%

Other Punctuation

Value	Count	Frequency (%)
.	5	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	35	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	8	22.9%
1	5	14.3%
.	5	14.3%
9	4	11.4%
6	4	11.4%
4	3	8.6%
7	3	8.6%
5	2	5.7%
2	1	2.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	35	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	8	22.9%
1	5	14.3%
.	5	14.3%
9	4	11.4%
6	4	11.4%
4	3	8.6%
7	3	8.6%
5	2	5.7%
2	1	2.9%

_embedded.show.externals.thetvdb
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	49
Distinct (%)	66.2%
Missing	42
Missing (%)	36.2%
Infinite	0
Infinite (%)	0.0%
Mean	363580.3378

Minimum	104271
Maximum	410086
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.0 KiB

Quantile statistics

Minimum	104271
5-th percentile	277176.7
Q1	357399.5
median	391453
Q3	392343.25
95-th percentile	395939.2
Maximum	410086
Range	305815
Interquartile range (IQR)	34943.75

Descriptive statistics

Standard deviation	55371.69677
Coefficient of variation (CV)	0.1522956304
Kurtosis	8.438847513
Mean	363580.3378
Median Absolute Deviation (MAD)	2973.5
Skewness	-2.662559084
Sum	26904945
Variance	3066024803
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=49)

Value	Count	Frequency (%)
392162	6	5.2%
391453	6	5.2%
392096	4	3.4%
392287	3	2.6%
280619	3	2.6%
393060	2	1.7%
392679	2	1.7%
393381	2	1.7%
278793	2	1.7%
392362	2	1.7%
Other values (39)	42	36.2%
(Missing)	42	36.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
104271	1	0.9%
144541	1	0.9%
265193	1	0.9%
274175	1	0.9%
278793	2	1.7%
280619	3	2.6%
290686	1	0.9%
315061	1	0.9%
315380	1	0.9%
321364	1	0.9%

Value	Count	Frequency (%)
410086	1	0.9%
408034	1	0.9%
397247	2	1.7%
395235	1	0.9%
394627	1	0.9%
394045	1	0.9%
393381	2	1.7%
393060	2	1.7%
392752	1	0.9%
392679	2	1.7%

_embedded.show.externals.imdb
Categorical

HIGH CORRELATION
MISSING

Distinct	31
Distinct (%)	57.4%
Missing	62
Missing (%)	53.4%
Memory size	1.0 KiB

tt13599000	8
tt13486136	6
tt15561200	3
tt3230854	3
tt13492362	3
Other values (26)	31

Length

Max length	10
Median length	10
Mean length	9.666666667
Min length	9

Characters and Unicode

Total characters	522
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	21 ?
Unique (%)	38.9%

Sample

1st row	tt13695606
2nd row	tt13470370
3rd row	tt13470370
4th row	tt11492320
5th row	tt9780442

Common Values

Value	Count	Frequency (%)
tt13599000	8	6.9%
tt13486136	6	5.2%
tt15561200	3	2.6%
tt3230854	3	2.6%
tt13492362	3	2.6%
tt13539710	2	1.7%
tt13568876	2	1.7%
tt1714810	2	1.7%
tt13470370	2	1.7%
tt13598988	2	1.7%
Other values (21)	21	18.1%
(Missing)	62	53.4%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
tt13599000	8	14.8%
tt13486136	6	11.1%
tt15561200	3	5.6%
tt3230854	3	5.6%
tt13492362	3	5.6%
tt13539710	2	3.7%
tt13568876	2	3.7%
tt1714810	2	3.7%
tt13470370	2	3.7%
tt13598988	2	3.7%
Other values (21)	21	38.9%

Most occurring characters

Value	Count	Frequency (%)
t	108	20.7%
1	67	12.8%
0	59	11.3%
3	51	9.8%
6	41	7.9%
9	38	7.3%
8	38	7.3%
4	36	6.9%
5	34	6.5%
2	29	5.6%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	414	79.3%
Lowercase Letter	108	20.7%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	67	16.2%
0	59	14.3%
3	51	12.3%
6	41	9.9%
9	38	9.2%
8	38	9.2%
4	36	8.7%
5	34	8.2%
2	29	7.0%
7	21	5.1%

Lowercase Letter

Value	Count	Frequency (%)
t	108	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	414	79.3%
Latin	108	20.7%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	67	16.2%
0	59	14.3%
3	51	12.3%
6	41	9.9%
9	38	9.2%
8	38	9.2%
4	36	8.7%
5	34	8.2%
2	29	7.0%
7	21	5.1%

Latin

Value	Count	Frequency (%)
t	108	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	522	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
t	108	20.7%
1	67	12.8%
0	59	11.3%
3	51	9.8%
6	41	7.9%
9	38	7.3%
8	38	7.3%
4	36	6.9%
5	34	6.5%
2	29	5.6%

_embedded.show.image.medium
Categorical

HIGH CARDINALITY
HIGH CORRELATION
MISSING

Distinct	68
Distinct (%)	60.7%
Missing	4
Missing (%)	3.4%
Memory size	1.0 KiB

https://static.tvmaze.com/uploads/images/medium_portrait/291/729147.jpg	8
https://static.tvmaze.com/uploads/images/medium_portrait/291/729458.jpg	6
https://static.tvmaze.com/uploads/images/medium_portrait/289/723331.jpg	6
https://static.tvmaze.com/uploads/images/medium_portrait/289/723053.jpg	6
https://static.tvmaze.com/uploads/images/medium_portrait/289/722897.jpg	4
Other values (63)	82

Length

Max length	72
Median length	71
Mean length	71.03571429
Min length	70

Characters and Unicode

Total characters	7956
Distinct characters	32
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	48 ?
Unique (%)	42.9%

Sample

1st row	https://static.tvmaze.com/uploads/images/medium_portrait/315/789854.jpg
2nd row	https://static.tvmaze.com/uploads/images/medium_portrait/287/719749.jpg
3rd row	https://static.tvmaze.com/uploads/images/medium_portrait/287/719749.jpg
4th row	https://static.tvmaze.com/uploads/images/medium_portrait/259/648137.jpg
5th row	https://static.tvmaze.com/uploads/images/medium_portrait/270/675333.jpg

Common Values

Value	Count	Frequency (%)
https://static.tvmaze.com/uploads/images/medium_portrait/291/729147.jpg	8	6.9%
https://static.tvmaze.com/uploads/images/medium_portrait/291/729458.jpg	6	5.2%
https://static.tvmaze.com/uploads/images/medium_portrait/289/723331.jpg	6	5.2%
https://static.tvmaze.com/uploads/images/medium_portrait/289/723053.jpg	6	5.2%
https://static.tvmaze.com/uploads/images/medium_portrait/289/722897.jpg	4	3.4%
https://static.tvmaze.com/uploads/images/medium_portrait/376/941244.jpg	3	2.6%
https://static.tvmaze.com/uploads/images/medium_portrait/289/722948.jpg	3	2.6%
https://static.tvmaze.com/uploads/images/medium_portrait/380/951122.jpg	3	2.6%
https://static.tvmaze.com/uploads/images/medium_portrait/350/877137.jpg	3	2.6%
https://static.tvmaze.com/uploads/images/medium_portrait/370/926884.jpg	2	1.7%
Other values (58)	68	58.6%
(Missing)	4	3.4%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
https://static.tvmaze.com/uploads/images/medium_portrait/291/729147.jpg	8	7.1%
https://static.tvmaze.com/uploads/images/medium_portrait/289/723331.jpg	6	5.4%
https://static.tvmaze.com/uploads/images/medium_portrait/289/723053.jpg	6	5.4%
https://static.tvmaze.com/uploads/images/medium_portrait/291/729458.jpg	6	5.4%
https://static.tvmaze.com/uploads/images/medium_portrait/289/722897.jpg	4	3.6%
https://static.tvmaze.com/uploads/images/medium_portrait/376/941244.jpg	3	2.7%
https://static.tvmaze.com/uploads/images/medium_portrait/289/722948.jpg	3	2.7%
https://static.tvmaze.com/uploads/images/medium_portrait/380/951122.jpg	3	2.7%
https://static.tvmaze.com/uploads/images/medium_portrait/350/877137.jpg	3	2.7%
https://static.tvmaze.com/uploads/images/medium_portrait/285/713120.jpg	2	1.8%
Other values (58)	68	60.7%

Most occurring characters

Value	Count	Frequency (%)
/	784	9.9%
t	784	9.9%
m	560	7.0%
a	560	7.0%
p	448	5.6%
s	448	5.6%
i	448	5.6%
.	336	4.2%
e	336	4.2%
o	336	4.2%
Other values (22)	2916	36.7%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	5600	70.4%
Other Punctuation	1232	15.5%
Decimal Number	1012	12.7%
Connector Punctuation	112	1.4%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
t	784	14.0%
m	560	10.0%
a	560	10.0%
p	448	8.0%
s	448	8.0%
i	448	8.0%
e	336	6.0%
o	336	6.0%
u	224	4.0%
r	224	4.0%
Other values (8)	1232	22.0%

Decimal Number

Value	Count	Frequency (%)
2	154	15.2%
7	132	13.0%
8	118	11.7%
1	114	11.3%
9	112	11.1%
3	110	10.9%
4	79	7.8%
5	69	6.8%
0	68	6.7%
6	56	5.5%

Other Punctuation

Value	Count	Frequency (%)
/	784	63.6%
.	336	27.3%
:	112	9.1%

Connector Punctuation

Value	Count	Frequency (%)
_	112	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	5600	70.4%
Common	2356	29.6%

Most frequent character per script

Latin

Value	Count	Frequency (%)
t	784	14.0%
m	560	10.0%
a	560	10.0%
p	448	8.0%
s	448	8.0%
i	448	8.0%
e	336	6.0%
o	336	6.0%
u	224	4.0%
r	224	4.0%
Other values (8)	1232	22.0%

Common

Value	Count	Frequency (%)
/	784	33.3%
.	336	14.3%
2	154	6.5%
7	132	5.6%
8	118	5.0%
1	114	4.8%
9	112	4.8%
_	112	4.8%
:	112	4.8%
3	110	4.7%
Other values (4)	272	11.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	7956	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
/	784	9.9%
t	784	9.9%
m	560	7.0%
a	560	7.0%
p	448	5.6%
s	448	5.6%
i	448	5.6%
.	336	4.2%
e	336	4.2%
o	336	4.2%
Other values (22)	2916	36.7%

_embedded.show.image.original
Categorical

HIGH CARDINALITY
HIGH CORRELATION
MISSING

Distinct	68
Distinct (%)	60.7%
Missing	4
Missing (%)	3.4%
Memory size	1.0 KiB

https://static.tvmaze.com/uploads/images/original_untouched/291/729147.jpg	8
https://static.tvmaze.com/uploads/images/original_untouched/291/729458.jpg	6
https://static.tvmaze.com/uploads/images/original_untouched/289/723331.jpg	6
https://static.tvmaze.com/uploads/images/original_untouched/289/723053.jpg	6
https://static.tvmaze.com/uploads/images/original_untouched/289/722897.jpg	4
Other values (63)	82

Length

Max length	75
Median length	74
Mean length	74.03571429
Min length	73

Characters and Unicode

Total characters	8292
Distinct characters	33
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	48 ?
Unique (%)	42.9%

Sample

1st row	https://static.tvmaze.com/uploads/images/original_untouched/315/789854.jpg
2nd row	https://static.tvmaze.com/uploads/images/original_untouched/287/719749.jpg
3rd row	https://static.tvmaze.com/uploads/images/original_untouched/287/719749.jpg
4th row	https://static.tvmaze.com/uploads/images/original_untouched/259/648137.jpg
5th row	https://static.tvmaze.com/uploads/images/original_untouched/270/675333.jpg

Common Values

Value	Count	Frequency (%)
https://static.tvmaze.com/uploads/images/original_untouched/291/729147.jpg	8	6.9%
https://static.tvmaze.com/uploads/images/original_untouched/291/729458.jpg	6	5.2%
https://static.tvmaze.com/uploads/images/original_untouched/289/723331.jpg	6	5.2%
https://static.tvmaze.com/uploads/images/original_untouched/289/723053.jpg	6	5.2%
https://static.tvmaze.com/uploads/images/original_untouched/289/722897.jpg	4	3.4%
https://static.tvmaze.com/uploads/images/original_untouched/376/941244.jpg	3	2.6%
https://static.tvmaze.com/uploads/images/original_untouched/289/722948.jpg	3	2.6%
https://static.tvmaze.com/uploads/images/original_untouched/380/951122.jpg	3	2.6%
https://static.tvmaze.com/uploads/images/original_untouched/350/877137.jpg	3	2.6%
https://static.tvmaze.com/uploads/images/original_untouched/370/926884.jpg	2	1.7%
Other values (58)	68	58.6%
(Missing)	4	3.4%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
https://static.tvmaze.com/uploads/images/original_untouched/291/729147.jpg	8	7.1%
https://static.tvmaze.com/uploads/images/original_untouched/289/723331.jpg	6	5.4%
https://static.tvmaze.com/uploads/images/original_untouched/289/723053.jpg	6	5.4%
https://static.tvmaze.com/uploads/images/original_untouched/291/729458.jpg	6	5.4%
https://static.tvmaze.com/uploads/images/original_untouched/289/722897.jpg	4	3.6%
https://static.tvmaze.com/uploads/images/original_untouched/376/941244.jpg	3	2.7%
https://static.tvmaze.com/uploads/images/original_untouched/289/722948.jpg	3	2.7%
https://static.tvmaze.com/uploads/images/original_untouched/380/951122.jpg	3	2.7%
https://static.tvmaze.com/uploads/images/original_untouched/350/877137.jpg	3	2.7%
https://static.tvmaze.com/uploads/images/original_untouched/285/713120.jpg	2	1.8%
Other values (58)	68	60.7%

Most occurring characters

Value	Count	Frequency (%)
/	784	9.5%
t	672	8.1%
a	560	6.8%
s	448	5.4%
i	448	5.4%
o	448	5.4%
p	336	4.1%
c	336	4.1%
.	336	4.1%
g	336	4.1%
Other values (23)	3588	43.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	5936	71.6%
Other Punctuation	1232	14.9%
Decimal Number	1012	12.2%
Connector Punctuation	112	1.4%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
t	672	11.3%
a	560	9.4%
s	448	7.5%
i	448	7.5%
o	448	7.5%
p	336	5.7%
c	336	5.7%
g	336	5.7%
m	336	5.7%
e	336	5.7%
Other values (9)	1680	28.3%

Decimal Number

Value	Count	Frequency (%)
2	154	15.2%
7	132	13.0%
8	118	11.7%
1	114	11.3%
9	112	11.1%
3	110	10.9%
4	79	7.8%
5	69	6.8%
0	68	6.7%
6	56	5.5%

Other Punctuation

Value	Count	Frequency (%)
/	784	63.6%
.	336	27.3%
:	112	9.1%

Connector Punctuation

Value	Count	Frequency (%)
_	112	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	5936	71.6%
Common	2356	28.4%

Most frequent character per script

Latin

Value	Count	Frequency (%)
t	672	11.3%
a	560	9.4%
s	448	7.5%
i	448	7.5%
o	448	7.5%
p	336	5.7%
c	336	5.7%
g	336	5.7%
m	336	5.7%
e	336	5.7%
Other values (9)	1680	28.3%

Common

Value	Count	Frequency (%)
/	784	33.3%
.	336	14.3%
2	154	6.5%
7	132	5.6%
8	118	5.0%
1	114	4.8%
:	112	4.8%
_	112	4.8%
9	112	4.8%
3	110	4.7%
Other values (4)	272	11.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	8292	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
/	784	9.5%
t	672	8.1%
a	560	6.8%
s	448	5.4%
i	448	5.4%
o	448	5.4%
p	336	4.1%
c	336	4.1%
.	336	4.1%
g	336	4.1%
Other values (23)	3588	43.3%

_embedded.show.summary
Categorical

HIGH CARDINALITY
HIGH CORRELATION
MISSING

Distinct	61
Distinct (%)	58.1%
Missing	11
Missing (%)	9.5%
Memory size	1.0 KiB

<p>A story that follows undercover cop Gan Tian Lei who spent 10 years of his life walking a gray area. After waking up from a serious injury, he restarts his life and tries to solve a case by relying on his lost memories.</p>	8
<p><b>Anitta: Made in Honório </b>shows, in an unprecedented way, the private life and career of the singer Anitta, icon of funk and pop in Brazil. The show closely follows the controversial and fascinating artist in her intimacy and during the preparation of important shows on different stages around the world. It also shows her on the road and in meetings with her staff, while accumulating two roles: as an artist and entrepreneur.</p>	6
<p>Soda Stereo, Café Tacvba, Aterciopelados and others figure in this 50-year history of Latin American rock through dictatorships, disasters and dissent.</p>	6
<p>‎Shen Moo, has no idea what adventures she will face. Beauty, is one of the best observers of Internet resources, but soon, in her head creeps the idea that in the universe there are mermaids. It's hard to believe, but for some reason, she can't get it out of her mind. Soon, she will have to take responsibility to prove their existence, otherwise, the dispute with the professor will turn out to be a real failure for the heroine. Together with the rescue team, they went to help the victims in The Xine Bay. Meet Ahn Xin - an athlete, will turn her reality. Unbelievable, but the guy is perceived as a mermaid. Of course, Mu Xin liked it madly, because she found a key witness and will be able to insist on her own. However, the mermaid man does his best to avoid revealing his real world.‎</p>	6
<p>For five years, between 1975 to 1980, the Yorkshire Ripper murders cast a dark shadow over the lives of women in the North of England. 13 women were dead and the police seemed incapable of catching the killer. No one felt safe - and every man was a suspect.</p>	4
Other values (56)	75

Length

Max length	913
Median length	457
Mean length	333.7142857
Min length	58

Characters and Unicode

Total characters	35040
Distinct characters	96
Distinct categories	14 ?
Distinct scripts	4 ?
Distinct blocks	6 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	41 ?
Unique (%)	39.0%

Sample

1st row	<p>A modern adaptation of the classic novel-poem by Nikolai Gogol. The action takes place in our days. Chichikov, an enterprising and not without charm official from Moscow, this time does not buy up dead souls from small-minded provincials, but sells them places in the cemetery next to celebrities. He arrives in the County town of N and quickly makes" big and small " connections there. These bright acquaintances will benefit him and open up new opportunities for personal gain.</p>
2nd row	<p>A modern adaptation of the classic novel-poem by Nikolai Gogol. The action takes place in our days. Chichikov, an enterprising and not without charm official from Moscow, this time does not buy up dead souls from small-minded provincials, but sells them places in the cemetery next to celebrities. He arrives in the County town of N and quickly makes" big and small " connections there. These bright acquaintances will benefit him and open up new opportunities for personal gain.</p>
3rd row	<p>The pure and cute little devil Nini lives in Room 1031 of Wan Sheng Street Apartment. His roommates are no ordinary people: The lazy and wacky vampire Ira who spends most of his time gaming or watching TV, the unlucky dancer werewolf Vladimir, the serious and old-fashioned angel landlord Lynn and his naive little sister Lily, and many more.<br /><br />What none of them realize is that the power of the demon king is sleeping inside of Nini. With evil forces in hot pursuit, can Nini and his friends head off disaster?</p>
4th row	<p>In ancient Shenzhou, humans and demons had been in constant dispute for thousands of years. The demon princess from Tushan, Bai Binglan, and the human Zhang Kuangyun met each other due to a misunderstanding. In order to investigate the enemy country, Bai Binglan became Zhang Kuangyun's companion. As they travel together, Zhang Kuangyun discovers a conspiracy...</p>
5th row	<p>One will to create oceans. One will to summon the mulberry fields.<br /><br />One will to slaughter countless devils. One will to eradicate innumerable immortals.<br /><br />Only my will… is eternal.<br /><br />A Will Eternal tells the tale of Bai Xiaochun, an endearing but exasperating young man who is driven primarily by his fear of death and desire to live forever, but who deeply values friendship and family.<br /><br />(Source: Novel Updates)</p>

Common Values

Value	Count	Frequency (%)
<p>A story that follows undercover cop Gan Tian Lei who spent 10 years of his life walking a gray area. After waking up from a serious injury, he restarts his life and tries to solve a case by relying on his lost memories.</p>	8	6.9%
<p><b>Anitta: Made in Honório </b>shows, in an unprecedented way, the private life and career of the singer Anitta, icon of funk and pop in Brazil. The show closely follows the controversial and fascinating artist in her intimacy and during the preparation of important shows on different stages around the world. It also shows her on the road and in meetings with her staff, while accumulating two roles: as an artist and entrepreneur.</p>	6	5.2%
<p>Soda Stereo, Café Tacvba, Aterciopelados and others figure in this 50-year history of Latin American rock through dictatorships, disasters and dissent.</p>	6	5.2%
<p>‎Shen Moo, has no idea what adventures she will face. Beauty, is one of the best observers of Internet resources, but soon, in her head creeps the idea that in the universe there are mermaids. It's hard to believe, but for some reason, she can't get it out of her mind. Soon, she will have to take responsibility to prove their existence, otherwise, the dispute with the professor will turn out to be a real failure for the heroine. Together with the rescue team, they went to help the victims in The Xine Bay. Meet Ahn Xin - an athlete, will turn her reality. Unbelievable, but the guy is perceived as a mermaid. Of course, Mu Xin liked it madly, because she found a key witness and will be able to insist on her own. However, the mermaid man does his best to avoid revealing his real world.‎</p>	6	5.2%
<p>For five years, between 1975 to 1980, the Yorkshire Ripper murders cast a dark shadow over the lives of women in the North of England. 13 women were dead and the police seemed incapable of catching the killer. No one felt safe - and every man was a suspect.</p>	4	3.4%
<p>Morten shows you how you can make something cool with what you have at home!</p>	3	2.6%
<p>Free-spirited Tumi always manages to make a mess of things. Can she make it through this holiday family reunion without ruining it completely?</p>	3	2.6%
<p>Ty Franck and Wes Chatham dive into the development, behind-the-scenes, and easter eggs of Season 5 of <i>The Expanse.</i></p>	3	2.6%
<p>A thriller set two hundred years in the future, <b>The Expanse</b> follows the case of a missing young woman who brings a hardened detective and a rogue ship's captain together in a race across the solar system to expose the greatest conspiracy in human history.</p>	3	2.6%
<p>A story that follows a detective in the major crimes division of Nan Xing City Police Department. Together with a woman who has super memory, he upholds the law one case at a time in solving murders, burglaries and bringing down a narcotics manufacturing facility. Jing Chu is a young and capable detective. Due to his repeated merits from cracking big cases, he is promoted to the position of major crimes division vice-captain at Nan Xing city and starts to work alongside his new team. Because of a murder case, he meets Yang Mian Mian, a young woman who possesses a photographic memory. He soon realizes that Mian Mian seems to have a deep connection to his father's mysterious death many years ago. Meanwhile, a famous blogger and a member of an idol girl group die</p>	2	1.7%
Other values (51)	61	52.6%
(Missing)	11	9.5%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
the	305	5.1%
and	210	3.5%
a	185	3.1%
to	170	2.9%
of	166	2.8%
in	140	2.4%
his	87	1.5%
her	60	1.0%
with	56	0.9%
will	44	0.7%
Other values (1475)	4524	76.1%

Most occurring characters

Value	Count	Frequency (%)
	5834	16.6%
e	3304	9.4%
a	2223	6.3%
t	2155	6.2%
i	1982	5.7%
o	1977	5.6%
n	1965	5.6%
s	1786	5.1%
r	1704	4.9%
h	1376	3.9%
Other values (86)	10734	30.6%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	26314	75.1%
Space Separator	5842	16.7%
Uppercase Letter	1055	3.0%
Other Punctuation	967	2.8%
Math Symbol	620	1.8%
Decimal Number	110	0.3%
Dash Punctuation	81	0.2%
Format	24	0.1%
Open Punctuation	8	< 0.1%
Close Punctuation	8	< 0.1%
Other values (4)	11	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	3304	12.6%
a	2223	8.4%
t	2155	8.2%
i	1982	7.5%
o	1977	7.5%
n	1965	7.5%
s	1786	6.8%
r	1704	6.5%
h	1376	5.2%
l	1017	3.9%
Other values (20)	6825	25.9%

Uppercase Letter

Value	Count	Frequency (%)
S	112	10.6%
T	102	9.7%
A	91	8.6%
M	72	6.8%
X	52	4.9%
H	51	4.8%
W	50	4.7%
L	49	4.6%
B	45	4.3%
C	39	3.7%
Other values (16)	392	37.2%

Other Punctuation

Value	Count	Frequency (%)
,	362	37.4%
.	299	30.9%
/	166	17.2%
'	59	6.1%
"	33	3.4%
:	24	2.5%
!	12	1.2%
?	11	1.1%
…	1	0.1%

Decimal Number

Value	Count	Frequency (%)
0	31	28.2%
1	25	22.7%
5	15	13.6%
2	11	10.0%
8	8	7.3%
9	8	7.3%
7	6	5.5%
3	6	5.5%

Other Letter

Value	Count	Frequency (%)
タ	1	12.5%
ム	1	12.5%
ダ	1	12.5%
ス	1	12.5%
社	1	12.5%
会	1	12.5%
式	1	12.5%
株	1	12.5%

Dash Punctuation

Value	Count	Frequency (%)
-	73	90.1%
—	7	8.6%
–	1	1.2%

Space Separator

Value	Count	Frequency (%)
	5834	99.9%
	8	0.1%

Math Symbol

Value	Count	Frequency (%)
>	310	50.0%
<	310	50.0%

Open Punctuation

Value	Count	Frequency (%)
(	7	87.5%
[	1	12.5%

Close Punctuation

Value	Count	Frequency (%)
)	7	87.5%
]	1	12.5%

Format

Value	Count	Frequency (%)
‎	24	100.0%

Other Symbol

Value	Count	Frequency (%)
✪	1	100.0%

Modifier Letter

Value	Count	Frequency (%)
ー	1	100.0%

Currency Symbol

Value	Count	Frequency (%)
$	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	27369	78.1%
Common	7663	21.9%
Katakana	4	< 0.1%
Han	4	< 0.1%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	3304	12.1%
a	2223	8.1%
t	2155	7.9%
i	1982	7.2%
o	1977	7.2%
n	1965	7.2%
s	1786	6.5%
r	1704	6.2%
h	1376	5.0%
l	1017	3.7%
Other values (46)	7880	28.8%

Common

Value	Count	Frequency (%)
	5834	76.1%
,	362	4.7%
>	310	4.0%
<	310	4.0%
.	299	3.9%
/	166	2.2%
-	73	1.0%
'	59	0.8%
"	33	0.4%
0	31	0.4%
Other values (22)	186	2.4%

Katakana

Value	Count	Frequency (%)
タ	1	25.0%
ム	1	25.0%
ダ	1	25.0%
ス	1	25.0%

Han

Value	Count	Frequency (%)
社	1	25.0%
会	1	25.0%
式	1	25.0%
株	1	25.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	34974	99.8%
Punctuation	33	0.1%
None	23	0.1%
Katakana	5	< 0.1%
CJK	4	< 0.1%
Dingbats	1	< 0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	5834	16.7%
e	3304	9.4%
a	2223	6.4%
t	2155	6.2%
i	1982	5.7%
o	1977	5.7%
n	1965	5.6%
s	1786	5.1%
r	1704	4.9%
h	1376	3.9%
Other values (67)	10668	30.5%

Punctuation

Value	Count	Frequency (%)
‎	24	72.7%
—	7	21.2%
…	1	3.0%
–	1	3.0%

None

Value	Count	Frequency (%)
	8	34.8%
é	7	30.4%
ó	6	26.1%
ā	1	4.3%
å	1	4.3%

Katakana

Value	Count	Frequency (%)
タ	1	20.0%
ム	1	20.0%
ダ	1	20.0%
ー	1	20.0%
ス	1	20.0%

Dingbats

Value	Count	Frequency (%)
✪	1	100.0%

CJK

Value	Count	Frequency (%)
社	1	25.0%
会	1	25.0%
式	1	25.0%
株	1	25.0%

_embedded.show.updated
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	72
Distinct (%)	62.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1637184876

Minimum	1608253013
Maximum	1662346277
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.0 KiB

Quantile statistics

Minimum	1608253013
5-th percentile	1608671915
Q1	1612842583
median	1643161934
Q3	1654976411
95-th percentile	1661986111
Maximum	1662346277
Range	54093264
Interquartile range (IQR)	42133828

Descriptive statistics

Standard deviation	19715355.73
Coefficient of variation (CV)	0.01204222933
Kurtosis	-1.568446006
Mean	1637184876
Median Absolute Deviation (MAD)	14440876.5
Skewness	-0.3034464707
Sum	1.899134456 × 10¹¹
Variance	3.886952515 × 10¹⁴
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1654976411	8	6.9%
1654977444	6	5.2%
1612297661	6	5.2%
1608671915	6	5.2%
1642245308	4	3.4%
1639400490	3	2.6%
1612479920	3	2.6%
1650162552	3	2.6%
1657490016	3	2.6%
1612478145	2	1.7%
Other values (62)	72	62.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1608253013	2	1.7%
1608671915	6	5.2%
1609060726	2	1.7%
1609535141	2	1.7%
1609689736	1	0.9%
1610890340	1	0.9%
1611436842	1	0.9%
1612007831	1	0.9%
1612297661	6	5.2%
1612378117	1	0.9%

Value	Count	Frequency (%)
1662346277	1	0.9%
1662275668	1	0.9%
1662262961	1	0.9%
1662217931	1	0.9%
1662050133	1	0.9%
1662036966	1	0.9%
1661969159	1	0.9%
1661959538	1	0.9%
1661872561	1	0.9%
1661485729	1	0.9%

_embedded.show._links.self.href
Categorical

HIGH CARDINALITY
HIGH CORRELATION

Distinct	72
Distinct (%)	62.1%
Missing	0
Missing (%)	0.0%
Memory size	1.0 KiB

https://api.tvmaze.com/shows/52743	8
https://api.tvmaze.com/shows/52780	6
https://api.tvmaze.com/shows/52521	6
https://api.tvmaze.com/shows/51928	6
https://api.tvmaze.com/shows/51994	4
Other values (67)	86

Length

Max length	34
Median length	34
Mean length	33.94827586
Min length	33

Characters and Unicode

Total characters	3938
Distinct characters	26
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	52 ?
Unique (%)	44.8%

Sample

1st row	https://api.tvmaze.com/shows/49630
2nd row	https://api.tvmaze.com/shows/52316
3rd row	https://api.tvmaze.com/shows/52316
4th row	https://api.tvmaze.com/shows/48395
5th row	https://api.tvmaze.com/shows/49206

Common Values

Value	Count	Frequency (%)
https://api.tvmaze.com/shows/52743	8	6.9%
https://api.tvmaze.com/shows/52780	6	5.2%
https://api.tvmaze.com/shows/52521	6	5.2%
https://api.tvmaze.com/shows/51928	6	5.2%
https://api.tvmaze.com/shows/51994	4	3.4%
https://api.tvmaze.com/shows/52110	3	2.6%
https://api.tvmaze.com/shows/52471	3	2.6%
https://api.tvmaze.com/shows/1825	3	2.6%
https://api.tvmaze.com/shows/57030	3	2.6%
https://api.tvmaze.com/shows/52524	2	1.7%
Other values (62)	72	62.1%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
https://api.tvmaze.com/shows/52743	8	6.9%
https://api.tvmaze.com/shows/52521	6	5.2%
https://api.tvmaze.com/shows/51928	6	5.2%
https://api.tvmaze.com/shows/52780	6	5.2%
https://api.tvmaze.com/shows/51994	4	3.4%
https://api.tvmaze.com/shows/52110	3	2.6%
https://api.tvmaze.com/shows/52471	3	2.6%
https://api.tvmaze.com/shows/1825	3	2.6%
https://api.tvmaze.com/shows/57030	3	2.6%
https://api.tvmaze.com/shows/52108	2	1.7%
Other values (62)	72	62.1%

Most occurring characters

Value	Count	Frequency (%)
/	464	11.8%
s	348	8.8%
t	348	8.8%
h	232	5.9%
p	232	5.9%
a	232	5.9%
o	232	5.9%
.	232	5.9%
m	232	5.9%
e	116	2.9%
Other values (16)	1270	32.2%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	2552	64.8%
Other Punctuation	812	20.6%
Decimal Number	574	14.6%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
s	348	13.6%
t	348	13.6%
h	232	9.1%
p	232	9.1%
a	232	9.1%
o	232	9.1%
m	232	9.1%
e	116	4.5%
w	116	4.5%
c	116	4.5%
Other values (3)	348	13.6%

Decimal Number

Value	Count	Frequency (%)
5	112	19.5%
2	88	15.3%
4	66	11.5%
1	62	10.8%
7	52	9.1%
0	45	7.8%
8	41	7.1%
6	41	7.1%
3	35	6.1%
9	32	5.6%

Other Punctuation

Value	Count	Frequency (%)
/	464	57.1%
.	232	28.6%
:	116	14.3%

Most occurring scripts

Value	Count	Frequency (%)
Latin	2552	64.8%
Common	1386	35.2%

Most frequent character per script

Common

Value	Count	Frequency (%)
/	464	33.5%
.	232	16.7%
:	116	8.4%
5	112	8.1%
2	88	6.3%
4	66	4.8%
1	62	4.5%
7	52	3.8%
0	45	3.2%
8	41	3.0%
Other values (3)	108	7.8%

Latin

Value	Count	Frequency (%)
s	348	13.6%
t	348	13.6%
h	232	9.1%
p	232	9.1%
a	232	9.1%
o	232	9.1%
m	232	9.1%
e	116	4.5%
w	116	4.5%
c	116	4.5%
Other values (3)	348	13.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3938	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
/	464	11.8%
s	348	8.8%
t	348	8.8%
h	232	5.9%
p	232	5.9%
a	232	5.9%
o	232	5.9%
.	232	5.9%
m	232	5.9%
e	116	2.9%
Other values (16)	1270	32.2%

_embedded.show._links.previousepisode.href
Categorical

HIGH CARDINALITY
HIGH CORRELATION

Distinct	72
Distinct (%)	62.1%
Missing	0
Missing (%)	0.0%
Memory size	1.0 KiB

https://api.tvmaze.com/episodes/1997552	8
https://api.tvmaze.com/episodes/1998538	6
https://api.tvmaze.com/episodes/1987999	6
https://api.tvmaze.com/episodes/1987002	6
https://api.tvmaze.com/episodes/1987000	4
Other values (67)	86

Length

Max length	39
Median length	39
Mean length	39
Min length	39

Characters and Unicode

Total characters	4524
Distinct characters	26
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	52 ?
Unique (%)	44.8%

Sample

1st row	https://api.tvmaze.com/episodes/2380515
2nd row	https://api.tvmaze.com/episodes/1983260
3rd row	https://api.tvmaze.com/episodes/1983260
4th row	https://api.tvmaze.com/episodes/2280228
5th row	https://api.tvmaze.com/episodes/2386129

Common Values

Value	Count	Frequency (%)
https://api.tvmaze.com/episodes/1997552	8	6.9%
https://api.tvmaze.com/episodes/1998538	6	5.2%
https://api.tvmaze.com/episodes/1987999	6	5.2%
https://api.tvmaze.com/episodes/1987002	6	5.2%
https://api.tvmaze.com/episodes/1987000	4	3.4%
https://api.tvmaze.com/episodes/2234538	3	2.6%
https://api.tvmaze.com/episodes/2024018	3	2.6%
https://api.tvmaze.com/episodes/2190017	3	2.6%
https://api.tvmaze.com/episodes/2170127	3	2.6%
https://api.tvmaze.com/episodes/1988079	2	1.7%
Other values (62)	72	62.1%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
https://api.tvmaze.com/episodes/1997552	8	6.9%
https://api.tvmaze.com/episodes/1987999	6	5.2%
https://api.tvmaze.com/episodes/1987002	6	5.2%
https://api.tvmaze.com/episodes/1998538	6	5.2%
https://api.tvmaze.com/episodes/1987000	4	3.4%
https://api.tvmaze.com/episodes/2234538	3	2.6%
https://api.tvmaze.com/episodes/2024018	3	2.6%
https://api.tvmaze.com/episodes/2190017	3	2.6%
https://api.tvmaze.com/episodes/2170127	3	2.6%
https://api.tvmaze.com/episodes/1976202	2	1.7%
Other values (62)	72	62.1%

Most occurring characters

Value	Count	Frequency (%)
/	464	10.3%
p	348	7.7%
s	348	7.7%
e	348	7.7%
t	348	7.7%
o	232	5.1%
a	232	5.1%
i	232	5.1%
.	232	5.1%
m	232	5.1%
Other values (16)	1508	33.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	2900	64.1%
Other Punctuation	812	17.9%
Decimal Number	812	17.9%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
p	348	12.0%
s	348	12.0%
e	348	12.0%
t	348	12.0%
o	232	8.0%
a	232	8.0%
i	232	8.0%
m	232	8.0%
h	116	4.0%
d	116	4.0%
Other values (3)	348	12.0%

Decimal Number

Value	Count	Frequency (%)
2	131	16.1%
9	126	15.5%
1	110	13.5%
0	90	11.1%
7	78	9.6%
8	70	8.6%
5	63	7.8%
3	63	7.8%
6	42	5.2%
4	39	4.8%

Other Punctuation

Value	Count	Frequency (%)
/	464	57.1%
.	232	28.6%
:	116	14.3%

Most occurring scripts

Value	Count	Frequency (%)
Latin	2900	64.1%
Common	1624	35.9%

Most frequent character per script

Common

Value	Count	Frequency (%)
/	464	28.6%
.	232	14.3%
2	131	8.1%
9	126	7.8%
:	116	7.1%
1	110	6.8%
0	90	5.5%
7	78	4.8%
8	70	4.3%
5	63	3.9%
Other values (3)	144	8.9%

Latin

Value	Count	Frequency (%)
p	348	12.0%
s	348	12.0%
e	348	12.0%
t	348	12.0%
o	232	8.0%
a	232	8.0%
i	232	8.0%
m	232	8.0%
h	116	4.0%
d	116	4.0%
Other values (3)	348	12.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	4524	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
/	464	10.3%
p	348	7.7%
s	348	7.7%
e	348	7.7%
t	348	7.7%
o	232	5.1%
a	232	5.1%
i	232	5.1%
.	232	5.1%
m	232	5.1%
Other values (16)	1508	33.3%

image
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing	116
Missing (%)	100.0%
Memory size	1.0 KiB

_embedded.show.webChannel.country.name
Categorical

HIGH CORRELATION
MISSING

Distinct	8
Distinct (%)	17.0%
Missing	69
Missing (%)	59.5%
Memory size	1.0 KiB

China	28
Norway	7
Russian Federation	3
Korea, Republic of	3
United States	3
Other values (3)	3

Length

Max length	25
Median length	5
Mean length	7.872340426
Min length	5

Characters and Unicode

Total characters	370
Distinct characters	33
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	3 ?
Unique (%)	6.4%

Sample

1st row	Russian Federation
2nd row	Russian Federation
3rd row	China
4th row	China
5th row	China

Common Values

Value	Count	Frequency (%)
China	28	24.1%
Norway	7	6.0%
Russian Federation	3	2.6%
Korea, Republic of	3	2.6%
United States	3	2.6%
Taiwan, Province of China	1	0.9%
Kazakhstan	1	0.9%
Brazil	1	0.9%
(Missing)	69	59.5%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
china	29	46.8%
norway	7	11.3%
of	4	6.5%
russian	3	4.8%
federation	3	4.8%
korea	3	4.8%
republic	3	4.8%
united	3	4.8%
states	3	4.8%
taiwan	1	1.6%
Other values (3)	3	4.8%

Most occurring characters

Value	Count	Frequency (%)
a	54	14.6%
i	44	11.9%
n	41	11.1%
h	30	8.1%
C	29	7.8%
e	19	5.1%
o	18	4.9%
r	15	4.1%
	15	4.1%
t	13	3.5%
Other values (23)	92	24.9%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	293	79.2%
Uppercase Letter	58	15.7%
Space Separator	15	4.1%
Other Punctuation	4	1.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	54	18.4%
i	44	15.0%
n	41	14.0%
h	30	10.2%
e	19	6.5%
o	18	6.1%
r	15	5.1%
t	13	4.4%
s	10	3.4%
w	8	2.7%
Other values (11)	41	14.0%

Uppercase Letter

Value	Count	Frequency (%)
C	29	50.0%
N	7	12.1%
R	6	10.3%
K	4	6.9%
S	3	5.2%
U	3	5.2%
F	3	5.2%
T	1	1.7%
P	1	1.7%
B	1	1.7%

Space Separator

Value	Count	Frequency (%)
	15	100.0%

Other Punctuation

Value	Count	Frequency (%)
,	4	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	351	94.9%
Common	19	5.1%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	54	15.4%
i	44	12.5%
n	41	11.7%
h	30	8.5%
C	29	8.3%
e	19	5.4%
o	18	5.1%
r	15	4.3%
t	13	3.7%
s	10	2.8%
Other values (21)	78	22.2%

Common

Value	Count	Frequency (%)
	15	78.9%
,	4	21.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	370	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
a	54	14.6%
i	44	11.9%
n	41	11.1%
h	30	8.1%
C	29	7.8%
e	19	5.1%
o	18	4.9%
r	15	4.1%
	15	4.1%
t	13	3.5%
Other values (23)	92	24.9%

_embedded.show.webChannel.country.code
Categorical

HIGH CORRELATION
MISSING

Distinct	8
Distinct (%)	17.0%
Missing	69
Missing (%)	59.5%
Memory size	1.0 KiB

CN	28
NO	7
RU	3
KR	3
US	3
Other values (3)	3

Length

Max length	2
Median length	2
Mean length	2
Min length	2

Characters and Unicode

Total characters	94
Distinct characters	11
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	3 ?
Unique (%)	6.4%

Sample

1st row	RU
2nd row	RU
3rd row	CN
4th row	CN
5th row	CN

Common Values

Value	Count	Frequency (%)
CN	28	24.1%
NO	7	6.0%
RU	3	2.6%
KR	3	2.6%
US	3	2.6%
TW	1	0.9%
KZ	1	0.9%
BR	1	0.9%
(Missing)	69	59.5%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
cn	28	59.6%
no	7	14.9%
ru	3	6.4%
kr	3	6.4%
us	3	6.4%
tw	1	2.1%
kz	1	2.1%
br	1	2.1%

Most occurring characters

Value	Count	Frequency (%)
N	35	37.2%
C	28	29.8%
O	7	7.4%
R	7	7.4%
U	6	6.4%
K	4	4.3%
S	3	3.2%
T	1	1.1%
W	1	1.1%
Z	1	1.1%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	94	100.0%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
N	35	37.2%
C	28	29.8%
O	7	7.4%
R	7	7.4%
U	6	6.4%
K	4	4.3%
S	3	3.2%
T	1	1.1%
W	1	1.1%
Z	1	1.1%

Most occurring scripts

Value	Count	Frequency (%)
Latin	94	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
N	35	37.2%
C	28	29.8%
O	7	7.4%
R	7	7.4%
U	6	6.4%
K	4	4.3%
S	3	3.2%
T	1	1.1%
W	1	1.1%
Z	1	1.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	94	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
N	35	37.2%
C	28	29.8%
O	7	7.4%
R	7	7.4%
U	6	6.4%
K	4	4.3%
S	3	3.2%
T	1	1.1%
W	1	1.1%
Z	1	1.1%

_embedded.show.webChannel.country.timezone
Categorical

HIGH CORRELATION
MISSING

Distinct	8
Distinct (%)	17.0%
Missing	69
Missing (%)	59.5%
Memory size	1.0 KiB

Asia/Shanghai	28
Europe/Oslo	7
Asia/Kamchatka	3
Asia/Seoul	3
America/New_York	3
Other values (3)	3

Length

Max length	16
Median length	13
Mean length	12.78723404
Min length	10

Characters and Unicode

Total characters	601
Distinct characters	31
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	3 ?
Unique (%)	6.4%

Sample

1st row	Asia/Kamchatka
2nd row	Asia/Kamchatka
3rd row	Asia/Shanghai
4th row	Asia/Shanghai
5th row	Asia/Shanghai

Common Values

Value	Count	Frequency (%)
Asia/Shanghai	28	24.1%
Europe/Oslo	7	6.0%
Asia/Kamchatka	3	2.6%
Asia/Seoul	3	2.6%
America/New_York	3	2.6%
Asia/Taipei	1	0.9%
Asia/Qyzylorda	1	0.9%
America/Noronha	1	0.9%
(Missing)	69	59.5%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
asia/shanghai	28	59.6%
europe/oslo	7	14.9%
asia/kamchatka	3	6.4%
asia/seoul	3	6.4%
america/new_york	3	6.4%
asia/taipei	1	2.1%
asia/qyzylorda	1	2.1%
america/noronha	1	2.1%

Most occurring characters

Value	Count	Frequency (%)
a	108	18.0%
i	70	11.6%
h	60	10.0%
/	47	7.8%
s	43	7.2%
A	40	6.7%
S	31	5.2%
n	29	4.8%
g	28	4.7%
o	23	3.8%
Other values (21)	122	20.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	454	75.5%
Uppercase Letter	97	16.1%
Other Punctuation	47	7.8%
Connector Punctuation	3	0.5%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	108	23.8%
i	70	15.4%
h	60	13.2%
s	43	9.5%
n	29	6.4%
g	28	6.2%
o	23	5.1%
e	18	4.0%
r	16	3.5%
l	11	2.4%
Other values (10)	48	10.6%

Uppercase Letter

Value	Count	Frequency (%)
A	40	41.2%
S	31	32.0%
O	7	7.2%
E	7	7.2%
N	4	4.1%
K	3	3.1%
Y	3	3.1%
T	1	1.0%
Q	1	1.0%

Other Punctuation

Value	Count	Frequency (%)
/	47	100.0%

Connector Punctuation

Value	Count	Frequency (%)
_	3	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	551	91.7%
Common	50	8.3%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	108	19.6%
i	70	12.7%
h	60	10.9%
s	43	7.8%
A	40	7.3%
S	31	5.6%
n	29	5.3%
g	28	5.1%
o	23	4.2%
e	18	3.3%
Other values (19)	101	18.3%

Common

Value	Count	Frequency (%)
/	47	94.0%
_	3	6.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	601	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
a	108	18.0%
i	70	11.6%
h	60	10.0%
/	47	7.8%
s	43	7.2%
A	40	6.7%
S	31	5.2%
n	29	4.8%
g	28	4.7%
o	23	3.8%
Other values (21)	122	20.3%

_embedded.show._links.nextepisode.href
Categorical

HIGH CORRELATION
MISSING
UNIFORM

Distinct	7
Distinct (%)	100.0%
Missing	109
Missing (%)	94.0%
Memory size	1.0 KiB

https://api.tvmaze.com/episodes/2374449	1
https://api.tvmaze.com/episodes/2383511	1
https://api.tvmaze.com/episodes/2377389	1
https://api.tvmaze.com/episodes/2383014	1
https://api.tvmaze.com/episodes/2371586	1
Other values (2)	2

Length

Max length	39
Median length	39
Mean length	39
Min length	39

Characters and Unicode

Total characters	273
Distinct characters	26
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	7 ?
Unique (%)	100.0%

Sample

1st row	https://api.tvmaze.com/episodes/2374449
2nd row	https://api.tvmaze.com/episodes/2383511
3rd row	https://api.tvmaze.com/episodes/2377389
4th row	https://api.tvmaze.com/episodes/2383014
5th row	https://api.tvmaze.com/episodes/2371586

Common Values

Value	Count	Frequency (%)
https://api.tvmaze.com/episodes/2374449	1	0.9%
https://api.tvmaze.com/episodes/2383511	1	0.9%
https://api.tvmaze.com/episodes/2377389	1	0.9%
https://api.tvmaze.com/episodes/2383014	1	0.9%
https://api.tvmaze.com/episodes/2371586	1	0.9%
https://api.tvmaze.com/episodes/2379702	1	0.9%
https://api.tvmaze.com/episodes/2367107	1	0.9%
(Missing)	109	94.0%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
https://api.tvmaze.com/episodes/2374449	1	14.3%
https://api.tvmaze.com/episodes/2383511	1	14.3%
https://api.tvmaze.com/episodes/2377389	1	14.3%
https://api.tvmaze.com/episodes/2383014	1	14.3%
https://api.tvmaze.com/episodes/2371586	1	14.3%
https://api.tvmaze.com/episodes/2379702	1	14.3%
https://api.tvmaze.com/episodes/2367107	1	14.3%

Most occurring characters

Value	Count	Frequency (%)
/	28	10.3%
p	21	7.7%
s	21	7.7%
e	21	7.7%
t	21	7.7%
a	14	5.1%
i	14	5.1%
.	14	5.1%
m	14	5.1%
o	14	5.1%
Other values (16)	91	33.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	175	64.1%
Other Punctuation	49	17.9%
Decimal Number	49	17.9%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
p	21	12.0%
s	21	12.0%
e	21	12.0%
t	21	12.0%
a	14	8.0%
i	14	8.0%
m	14	8.0%
o	14	8.0%
h	7	4.0%
d	7	4.0%
Other values (3)	21	12.0%

Decimal Number

Value	Count	Frequency (%)
3	10	20.4%
7	8	16.3%
2	8	16.3%
1	5	10.2%
4	4	8.2%
8	4	8.2%
9	3	6.1%
0	3	6.1%
5	2	4.1%
6	2	4.1%

Other Punctuation

Value	Count	Frequency (%)
/	28	57.1%
.	14	28.6%
:	7	14.3%

Most occurring scripts

Value	Count	Frequency (%)
Latin	175	64.1%
Common	98	35.9%

Most frequent character per script

Common

Value	Count	Frequency (%)
/	28	28.6%
.	14	14.3%
3	10	10.2%
7	8	8.2%
2	8	8.2%
:	7	7.1%
1	5	5.1%
4	4	4.1%
8	4	4.1%
9	3	3.1%
Other values (3)	7	7.1%

Latin

Value	Count	Frequency (%)
p	21	12.0%
s	21	12.0%
e	21	12.0%
t	21	12.0%
a	14	8.0%
i	14	8.0%
m	14	8.0%
o	14	8.0%
h	7	4.0%
d	7	4.0%
Other values (3)	21	12.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	273	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
/	28	10.3%
p	21	7.7%
s	21	7.7%
e	21	7.7%
t	21	7.7%
a	14	5.1%
i	14	5.1%
.	14	5.1%
m	14	5.1%
o	14	5.1%
Other values (16)	91	33.3%

_embedded.show.network.id
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	10
Distinct (%)	100.0%
Missing	106
Missing (%)	91.4%
Infinite	0
Infinite (%)	0.0%
Mean	548.8

Minimum	30
Maximum	1862
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.0 KiB

Quantile statistics

Minimum	30
5-th percentile	38.55
Q1	117
median	289.5
Q3	486
95-th percentile	1837.7
Maximum	1862
Range	1832
Interquartile range (IQR)	369

Descriptive statistics

Standard deviation	696.4244874
Coefficient of variation (CV)	1.268995057
Kurtosis	0.9537278269
Mean	548.8
Median Absolute Deviation (MAD)	201
Skewness	1.559143005
Sum	5488
Variance	485007.0667
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
514	1	0.9%
49	1	0.9%
1808	1	0.9%
1862	1	0.9%
205	1	0.9%
374	1	0.9%
402	1	0.9%
112	1	0.9%
30	1	0.9%
132	1	0.9%
(Missing)	106	91.4%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
30	1	0.9%
49	1	0.9%
112	1	0.9%
132	1	0.9%
205	1	0.9%
374	1	0.9%
402	1	0.9%
514	1	0.9%
1808	1	0.9%
1862	1	0.9%

Value	Count	Frequency (%)
1862	1	0.9%
1808	1	0.9%
514	1	0.9%
402	1	0.9%
374	1	0.9%
205	1	0.9%
132	1	0.9%
112	1	0.9%
49	1	0.9%
30	1	0.9%

_embedded.show.network.name
Categorical

HIGH CORRELATION
MISSING
UNIFORM

Distinct	10
Distinct (%)	100.0%
Missing	106
Missing (%)	91.4%
Memory size	1.0 KiB

ТВ-3	1
BBC Three	1
MBC Masr	1
AfricaMagic Showcase	1
NFL Network	1
Other values (5)	5

Length

Max length	20
Median length	11
Mean length	9.4
Min length	4

Characters and Unicode

Total characters	94
Distinct characters	45
Distinct categories	5 ?
Distinct scripts	3 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	10 ?
Unique (%)	100.0%

Sample

1st row	ТВ-3
2nd row	BBC Three
3rd row	MBC Masr
4th row	AfricaMagic Showcase
5th row	NFL Network

Common Values

Value	Count	Frequency (%)
ТВ-3	1	0.9%
BBC Three	1	0.9%
MBC Masr	1	0.9%
AfricaMagic Showcase	1	0.9%
NFL Network	1	0.9%
TV Globo	1	0.9%
Новий Канал	1	0.9%
RTL4	1	0.9%
USA Network	1	0.9%
Tokyo MX	1	0.9%
(Missing)	106	91.4%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
network	2	11.1%
tv	1	5.6%
tokyo	1	5.6%
usa	1	5.6%
rtl4	1	5.6%
канал	1	5.6%
новий	1	5.6%
globo	1	5.6%
тв-3	1	5.6%
bbc	1	5.6%
Other values (7)	7	38.9%

Most occurring characters

Value	Count	Frequency (%)
	8	8.5%
o	7	7.4%
r	5	5.3%
e	5	5.3%
T	4	4.3%
M	4	4.3%
a	4	4.3%
N	3	3.2%
c	3	3.2%
k	3	3.2%
Other values (35)	48	51.1%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	51	54.3%
Uppercase Letter	32	34.0%
Space Separator	8	8.5%
Decimal Number	2	2.1%
Dash Punctuation	1	1.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
o	7	13.7%
r	5	9.8%
e	5	9.8%
a	4	7.8%
c	3	5.9%
k	3	5.9%
w	3	5.9%
а	2	3.9%
t	2	3.9%
i	2	3.9%
Other values (13)	15	29.4%

Uppercase Letter

Value	Count	Frequency (%)
T	4	12.5%
M	4	12.5%
N	3	9.4%
B	3	9.4%
L	2	6.2%
S	2	6.2%
A	2	6.2%
C	2	6.2%
R	1	3.1%
U	1	3.1%
Other values (8)	8	25.0%

Decimal Number

Value	Count	Frequency (%)
4	1	50.0%
3	1	50.0%

Space Separator

Value	Count	Frequency (%)
	8	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	71	75.5%
Cyrillic	12	12.8%
Common	11	11.7%

Most frequent character per script

Latin

Value	Count	Frequency (%)
o	7	9.9%
r	5	7.0%
e	5	7.0%
T	4	5.6%
M	4	5.6%
a	4	5.6%
N	3	4.2%
c	3	4.2%
k	3	4.2%
B	3	4.2%
Other values (20)	30	42.3%

Cyrillic

Value	Count	Frequency (%)
а	2	16.7%
о	1	8.3%
л	1	8.3%
н	1	8.3%
К	1	8.3%
й	1	8.3%
и	1	8.3%
в	1	8.3%
Т	1	8.3%
Н	1	8.3%

Common

Value	Count	Frequency (%)
	8	72.7%
4	1	9.1%
3	1	9.1%
-	1	9.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	82	87.2%
Cyrillic	12	12.8%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	8	9.8%
o	7	8.5%
r	5	6.1%
e	5	6.1%
T	4	4.9%
M	4	4.9%
a	4	4.9%
N	3	3.7%
c	3	3.7%
k	3	3.7%
Other values (24)	36	43.9%

Cyrillic

Value	Count	Frequency (%)
а	2	16.7%
о	1	8.3%
л	1	8.3%
н	1	8.3%
К	1	8.3%
й	1	8.3%
и	1	8.3%
в	1	8.3%
Т	1	8.3%
Н	1	8.3%

_embedded.show.network.country.name
Categorical

HIGH CORRELATION
MISSING
UNIFORM

Distinct	9
Distinct (%)	90.0%
Missing	106
Missing (%)	91.4%
Memory size	1.0 KiB

United States	2
Russian Federation	1
United Kingdom	1
Egypt	1
South Africa	1
Other values (4)	4

Length

Max length	18
Median length	12.5
Mean length	10.4
Min length	5

Characters and Unicode

Total characters	104
Distinct characters	31
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	8 ?
Unique (%)	80.0%

Sample

1st row	Russian Federation
2nd row	United Kingdom
3rd row	Egypt
4th row	South Africa
5th row	United States

Common Values

Value	Count	Frequency (%)
United States	2	1.7%
Russian Federation	1	0.9%
United Kingdom	1	0.9%
Egypt	1	0.9%
South Africa	1	0.9%
Brazil	1	0.9%
Ukraine	1	0.9%
Netherlands	1	0.9%
Japan	1	0.9%
(Missing)	106	91.4%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
united	3	20.0%
states	2	13.3%
russian	1	6.7%
federation	1	6.7%
kingdom	1	6.7%
egypt	1	6.7%
south	1	6.7%
africa	1	6.7%
brazil	1	6.7%
ukraine	1	6.7%
Other values (2)	2	13.3%

Most occurring characters

Value	Count	Frequency (%)
t	11	10.6%
e	10	9.6%
a	10	9.6%
i	9	8.7%
n	9	8.7%
d	6	5.8%
	5	4.8%
s	5	4.8%
r	5	4.8%
U	4	3.8%
Other values (21)	30	28.8%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	84	80.8%
Uppercase Letter	15	14.4%
Space Separator	5	4.8%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
t	11	13.1%
e	10	11.9%
a	10	11.9%
i	9	10.7%
n	9	10.7%
d	6	7.1%
s	5	6.0%
r	5	6.0%
o	3	3.6%
g	2	2.4%
Other values (10)	14	16.7%

Uppercase Letter

Value	Count	Frequency (%)
U	4	26.7%
S	3	20.0%
B	1	6.7%
N	1	6.7%
K	1	6.7%
A	1	6.7%
E	1	6.7%
F	1	6.7%
R	1	6.7%
J	1	6.7%

Space Separator

Value	Count	Frequency (%)
	5	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	99	95.2%
Common	5	4.8%

Most frequent character per script

Latin

Value	Count	Frequency (%)
t	11	11.1%
e	10	10.1%
a	10	10.1%
i	9	9.1%
n	9	9.1%
d	6	6.1%
s	5	5.1%
r	5	5.1%
U	4	4.0%
S	3	3.0%
Other values (20)	27	27.3%

Common

Value	Count	Frequency (%)
	5	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	104	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
t	11	10.6%
e	10	9.6%
a	10	9.6%
i	9	8.7%
n	9	8.7%
d	6	5.8%
	5	4.8%
s	5	4.8%
r	5	4.8%
U	4	3.8%
Other values (21)	30	28.8%

_embedded.show.network.country.code
Categorical

HIGH CORRELATION
MISSING
UNIFORM

Distinct	9
Distinct (%)	90.0%
Missing	106
Missing (%)	91.4%
Memory size	1.0 KiB

US	2
RU	1
GB	1
EG	1
ZA	1
Other values (4)	4

Length

Max length	2
Median length	2
Mean length	2
Min length	2

Characters and Unicode

Total characters	20
Distinct characters	12
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	8 ?
Unique (%)	80.0%

Sample

1st row	RU
2nd row	GB
3rd row	EG
4th row	ZA
5th row	US

Common Values

Value	Count	Frequency (%)
US	2	1.7%
RU	1	0.9%
GB	1	0.9%
EG	1	0.9%
ZA	1	0.9%
BR	1	0.9%
UA	1	0.9%
NL	1	0.9%
JP	1	0.9%
(Missing)	106	91.4%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
us	2	20.0%
ru	1	10.0%
gb	1	10.0%
eg	1	10.0%
za	1	10.0%
br	1	10.0%
ua	1	10.0%
nl	1	10.0%
jp	1	10.0%

Most occurring characters

Value	Count	Frequency (%)
U	4	20.0%
S	2	10.0%
R	2	10.0%
G	2	10.0%
B	2	10.0%
A	2	10.0%
E	1	5.0%
Z	1	5.0%
N	1	5.0%
L	1	5.0%
Other values (2)	2	10.0%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	20	100.0%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
U	4	20.0%
S	2	10.0%
R	2	10.0%
G	2	10.0%
B	2	10.0%
A	2	10.0%
E	1	5.0%
Z	1	5.0%
N	1	5.0%
L	1	5.0%
Other values (2)	2	10.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	20	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
U	4	20.0%
S	2	10.0%
R	2	10.0%
G	2	10.0%
B	2	10.0%
A	2	10.0%
E	1	5.0%
Z	1	5.0%
N	1	5.0%
L	1	5.0%
Other values (2)	2	10.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	20	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
U	4	20.0%
S	2	10.0%
R	2	10.0%
G	2	10.0%
B	2	10.0%
A	2	10.0%
E	1	5.0%
Z	1	5.0%
N	1	5.0%
L	1	5.0%
Other values (2)	2	10.0%

_embedded.show.network.country.timezone
Categorical

HIGH CORRELATION
MISSING
UNIFORM

Distinct	9
Distinct (%)	90.0%
Missing	106
Missing (%)	91.4%
Memory size	1.0 KiB

America/New_York	2
Asia/Kamchatka	1
Europe/London	1
Africa/Cairo	1
Africa/Johannesburg	1
Other values (4)	4

Length

Max length	19
Median length	15.5
Mean length	14.8
Min length	10

Characters and Unicode

Total characters	148
Distinct characters	33
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	8 ?
Unique (%)	80.0%

Sample

1st row	Asia/Kamchatka
2nd row	Europe/London
3rd row	Africa/Cairo
4th row	Africa/Johannesburg
5th row	America/New_York

Common Values

Value	Count	Frequency (%)
America/New_York	2	1.7%
Asia/Kamchatka	1	0.9%
Europe/London	1	0.9%
Africa/Cairo	1	0.9%
Africa/Johannesburg	1	0.9%
America/Noronha	1	0.9%
Europe/Zaporozhye	1	0.9%
Europe/Amsterdam	1	0.9%
Asia/Tokyo	1	0.9%
(Missing)	106	91.4%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
america/new_york	2	20.0%
asia/kamchatka	1	10.0%
europe/london	1	10.0%
africa/cairo	1	10.0%
africa/johannesburg	1	10.0%
america/noronha	1	10.0%
europe/zaporozhye	1	10.0%
europe/amsterdam	1	10.0%
asia/tokyo	1	10.0%

Most occurring characters

Value	Count	Frequency (%)
r	15	10.1%
a	15	10.1%
o	15	10.1%
e	11	7.4%
/	10	6.8%
A	8	5.4%
i	8	5.4%
c	6	4.1%
m	6	4.1%
n	5	3.4%
Other values (23)	49	33.1%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	114	77.0%
Uppercase Letter	22	14.9%
Other Punctuation	10	6.8%
Connector Punctuation	2	1.4%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
r	15	13.2%
a	15	13.2%
o	15	13.2%
e	11	9.6%
i	8	7.0%
c	6	5.3%
m	6	5.3%
n	5	4.4%
s	4	3.5%
p	4	3.5%
Other values (11)	25	21.9%

Uppercase Letter

Value	Count	Frequency (%)
A	8	36.4%
E	3	13.6%
N	3	13.6%
Y	2	9.1%
L	1	4.5%
K	1	4.5%
C	1	4.5%
J	1	4.5%
Z	1	4.5%
T	1	4.5%

Other Punctuation

Value	Count	Frequency (%)
/	10	100.0%

Connector Punctuation

Value	Count	Frequency (%)
_	2	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	136	91.9%
Common	12	8.1%

Most frequent character per script

Latin

Value	Count	Frequency (%)
r	15	11.0%
a	15	11.0%
o	15	11.0%
e	11	8.1%
A	8	5.9%
i	8	5.9%
c	6	4.4%
m	6	4.4%
n	5	3.7%
s	4	2.9%
Other values (21)	43	31.6%

Common

Value	Count	Frequency (%)
/	10	83.3%
_	2	16.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	148	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
r	15	10.1%
a	15	10.1%
o	15	10.1%
e	11	7.4%
/	10	6.8%
A	8	5.4%
i	8	5.4%
c	6	4.1%
m	6	4.1%
n	5	3.4%
Other values (23)	49	33.1%

_embedded.show.network.officialSite
Categorical

CONSTANT
MISSING
REJECTED

Distinct	1
Distinct (%)	100.0%
Missing	115
Missing (%)	99.1%
Memory size	1.0 KiB

https://www.bbc.co.uk/bbcthree	1

Length

Max length	30
Median length	30
Mean length	30
Min length	30

Characters and Unicode

Total characters	30
Distinct characters	15
Distinct categories	2 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	100.0%

Sample

1st row	https://www.bbc.co.uk/bbcthree

Common Values

Value	Count	Frequency (%)
https://www.bbc.co.uk/bbcthree	1	0.9%
(Missing)	115	99.1%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
https://www.bbc.co.uk/bbcthree	1	100.0%

Most occurring characters

Value	Count	Frequency (%)
b	4	13.3%
t	3	10.0%
/	3	10.0%
w	3	10.0%
.	3	10.0%
c	3	10.0%
h	2	6.7%
e	2	6.7%
p	1	3.3%
s	1	3.3%
Other values (5)	5	16.7%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	23	76.7%
Other Punctuation	7	23.3%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
b	4	17.4%
t	3	13.0%
w	3	13.0%
c	3	13.0%
h	2	8.7%
e	2	8.7%
p	1	4.3%
s	1	4.3%
o	1	4.3%
u	1	4.3%
Other values (2)	2	8.7%

Other Punctuation

Value	Count	Frequency (%)
/	3	42.9%
.	3	42.9%
:	1	14.3%

Most occurring scripts

Value	Count	Frequency (%)
Latin	23	76.7%
Common	7	23.3%

Most frequent character per script

Latin

Value	Count	Frequency (%)
b	4	17.4%
t	3	13.0%
w	3	13.0%
c	3	13.0%
h	2	8.7%
e	2	8.7%
p	1	4.3%
s	1	4.3%
o	1	4.3%
u	1	4.3%
Other values (2)	2	8.7%

Common

Value	Count	Frequency (%)
/	3	42.9%
.	3	42.9%
:	1	14.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	30	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
b	4	13.3%
t	3	10.0%
/	3	10.0%
w	3	10.0%
.	3	10.0%
c	3	10.0%
h	2	6.7%
e	2	6.7%
p	1	3.3%
s	1	3.3%
Other values (5)	5	16.7%

_embedded.show.webChannel
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing	116
Missing (%)	100.0%
Memory size	1.0 KiB

_embedded.show.image
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing	116
Missing (%)	100.0%
Memory size	1.0 KiB

_embedded.show.dvdCountry.name
Categorical

CONSTANT
MISSING
REJECTED

Distinct	1
Distinct (%)	100.0%
Missing	115
Missing (%)	99.1%
Memory size	1.0 KiB

Ukraine	1

Length

Max length	7
Median length	7
Mean length	7
Min length	7

Characters and Unicode

Total characters	7
Distinct characters	7
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	100.0%

Sample

1st row	Ukraine

Common Values

Value	Count	Frequency (%)
Ukraine	1	0.9%
(Missing)	115	99.1%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
ukraine	1	100.0%

Most occurring characters

Value	Count	Frequency (%)
U	1	14.3%
k	1	14.3%
r	1	14.3%
a	1	14.3%
i	1	14.3%
n	1	14.3%
e	1	14.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	6	85.7%
Uppercase Letter	1	14.3%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
k	1	16.7%
r	1	16.7%
a	1	16.7%
i	1	16.7%
n	1	16.7%
e	1	16.7%

Uppercase Letter

Value	Count	Frequency (%)
U	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	7	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
U	1	14.3%
k	1	14.3%
r	1	14.3%
a	1	14.3%
i	1	14.3%
n	1	14.3%
e	1	14.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	7	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
U	1	14.3%
k	1	14.3%
r	1	14.3%
a	1	14.3%
i	1	14.3%
n	1	14.3%
e	1	14.3%

_embedded.show.dvdCountry.code
Categorical

CONSTANT
MISSING
REJECTED

Distinct	1
Distinct (%)	100.0%
Missing	115
Missing (%)	99.1%
Memory size	1.0 KiB

UA	1

Length

Max length	2
Median length	2
Mean length	2
Min length	2

Characters and Unicode

Total characters	2
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	100.0%

Sample

1st row	UA

Common Values

Value	Count	Frequency (%)
UA	1	0.9%
(Missing)	115	99.1%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
ua	1	100.0%

Most occurring characters

Value	Count	Frequency (%)
U	1	50.0%
A	1	50.0%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	2	100.0%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
U	1	50.0%
A	1	50.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	2	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
U	1	50.0%
A	1	50.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
U	1	50.0%
A	1	50.0%

_embedded.show.dvdCountry.timezone
Categorical

CONSTANT
MISSING
REJECTED

Distinct	1
Distinct (%)	100.0%
Missing	115
Missing (%)	99.1%
Memory size	1.0 KiB

Europe/Zaporozhye	1

Length

Max length	17
Median length	17
Mean length	17
Min length	17

Characters and Unicode

Total characters	17
Distinct characters	12
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	100.0%

Sample

1st row	Europe/Zaporozhye

Common Values

Value	Count	Frequency (%)
Europe/Zaporozhye	1	0.9%
(Missing)	115	99.1%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
europe/zaporozhye	1	100.0%

Most occurring characters

Value	Count	Frequency (%)
o	3	17.6%
r	2	11.8%
p	2	11.8%
e	2	11.8%
E	1	5.9%
u	1	5.9%
/	1	5.9%
Z	1	5.9%
a	1	5.9%
z	1	5.9%
Other values (2)	2	11.8%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	14	82.4%
Uppercase Letter	2	11.8%
Other Punctuation	1	5.9%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
o	3	21.4%
r	2	14.3%
p	2	14.3%
e	2	14.3%
u	1	7.1%
a	1	7.1%
z	1	7.1%
h	1	7.1%
y	1	7.1%

Uppercase Letter

Value	Count	Frequency (%)
E	1	50.0%
Z	1	50.0%

Other Punctuation

Value	Count	Frequency (%)
/	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	16	94.1%
Common	1	5.9%

Most frequent character per script

Latin

Value	Count	Frequency (%)
o	3	18.8%
r	2	12.5%
p	2	12.5%
e	2	12.5%
E	1	6.2%
u	1	6.2%
Z	1	6.2%
a	1	6.2%
z	1	6.2%
h	1	6.2%

Common

Value	Count	Frequency (%)
/	1	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	17	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
o	3	17.6%
r	2	11.8%
p	2	11.8%
e	2	11.8%
E	1	5.9%
u	1	5.9%
/	1	5.9%
Z	1	5.9%
a	1	5.9%
z	1	5.9%
Other values (2)	2	11.8%

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

The dendrogram allows you to more fully correlate variable completion, revealing trends deeper than the pairwise ones visible in the correlation heatmap.

First rows

	id	url	name	season	number	type	airdate	airtime	airstamp	runtime	summary	rating.average	image.medium	image.original	_links.self.href	_embedded.show.id	_embedded.show.url	_embedded.show.name	_embedded.show.type	_embedded.show.language	_embedded.show.genres	_embedded.show.status	_embedded.show.runtime	_embedded.show.averageRuntime	_embedded.show.premiered	_embedded.show.ended	_embedded.show.officialSite	_embedded.show.schedule.time	_embedded.show.schedule.days	_embedded.show.rating.average	_embedded.show.weight	_embedded.show.network	_embedded.show.webChannel.id	_embedded.show.webChannel.name	_embedded.show.webChannel.country	_embedded.show.webChannel.officialSite	_embedded.show.dvdCountry	_embedded.show.externals.tvrage	_embedded.show.externals.thetvdb	_embedded.show.externals.imdb	_embedded.show.image.medium	_embedded.show.image.original	_embedded.show.summary	_embedded.show.updated	_embedded.show._links.self.href	_embedded.show._links.previousepisode.href	image	_embedded.show.webChannel.country.name	_embedded.show.webChannel.country.code	_embedded.show.webChannel.country.timezone	_embedded.show._links.nextepisode.href	_embedded.show.network.id	_embedded.show.network.name	_embedded.show.network.country.name	_embedded.show.network.country.code	_embedded.show.network.country.timezone	_embedded.show.network.officialSite	_embedded.show.webChannel	_embedded.show.image	_embedded.show.dvdCountry.name	_embedded.show.dvdCountry.code	_embedded.show.dvdCountry.timezone
0	2179613	https://www.tvmaze.com/episodes/2179613/kontakty-1x30-kontakty-v-telefone-ili-makarova-ruslan-belyj-guram-amaran-andrej-beburisvili-sasa-vas	КОНТАКТЫ в телефоне Ильи Макарова: Руслан Белый, Гурам Амарян, Андрей Бебуришвили, Саша Ваш	1	30.0	regular	2020-12-16	12:00	2020-12-16T00:00:00+00:00	32.0	None	NaN	https://static.tvmaze.com/uploads/images/medium_landscape/360/901423.jpg	https://static.tvmaze.com/uploads/images/original_untouched/360/901423.jpg	https://api.tvmaze.com/episodes/2179613	49630	https://www.tvmaze.com/shows/49630/kontakty	Контакты	Game Show	Russian	[]	Running	30.0	42.0	2019-04-03	None	https://www.youtube.com/playlist?list=PLZ1FUdedsrSJubWkFFh5vKHzawzQk1mYI		[Monday]	NaN	20	NaN	21.0	YouTube	NaN	https://www.youtube.com	NaN	NaN	NaN	None	https://static.tvmaze.com/uploads/images/medium_portrait/315/789854.jpg	https://static.tvmaze.com/uploads/images/original_untouched/315/789854.jpg	None	1661485729	https://api.tvmaze.com/shows/49630	https://api.tvmaze.com/episodes/2380515	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
1	1983259	https://www.tvmaze.com/episodes/1983259/mertvye-dusi-1x03-seria-3	Серия 3	1	3.0	regular	2020-12-16		2020-12-16T00:00:00+00:00	43.0	None	NaN	NaN	NaN	https://api.tvmaze.com/episodes/1983259	52316	https://www.tvmaze.com/shows/52316/mertvye-dusi	Мёртвые души	Scripted	Russian	[Comedy]	Ended	43.0	43.0	2020-12-09	2020-12-16	https://www.ivi.ru/watch/mertvyie-dushi-2020		[Wednesday]	NaN	22	NaN	337.0	ivi	NaN	https://www.ivi.ru/	NaN	NaN	393060.0	None	https://static.tvmaze.com/uploads/images/medium_portrait/287/719749.jpg	https://static.tvmaze.com/uploads/images/original_untouched/287/719749.jpg	<p>A modern adaptation of the classic novel-poem by Nikolai Gogol. The action takes place in our days. Chichikov, an enterprising and not without charm official from Moscow, this time does not buy up dead souls from small-minded provincials, but sells them places in the cemetery next to celebrities. He arrives in the County town of N and quickly makes" big and small " connections there. These bright acquaintances will benefit him and open up new opportunities for personal gain.</p>	1608253013	https://api.tvmaze.com/shows/52316	https://api.tvmaze.com/episodes/1983260	NaN	Russian Federation	RU	Asia/Kamchatka	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
2	1983260	https://www.tvmaze.com/episodes/1983260/mertvye-dusi-1x04-seria-4	Серия 4	1	4.0	regular	2020-12-16		2020-12-16T00:00:00+00:00	43.0	None	NaN	NaN	NaN	https://api.tvmaze.com/episodes/1983260	52316	https://www.tvmaze.com/shows/52316/mertvye-dusi	Мёртвые души	Scripted	Russian	[Comedy]	Ended	43.0	43.0	2020-12-09	2020-12-16	https://www.ivi.ru/watch/mertvyie-dushi-2020		[Wednesday]	NaN	22	NaN	337.0	ivi	NaN	https://www.ivi.ru/	NaN	NaN	393060.0	None	https://static.tvmaze.com/uploads/images/medium_portrait/287/719749.jpg	https://static.tvmaze.com/uploads/images/original_untouched/287/719749.jpg	<p>A modern adaptation of the classic novel-poem by Nikolai Gogol. The action takes place in our days. Chichikov, an enterprising and not without charm official from Moscow, this time does not buy up dead souls from small-minded provincials, but sells them places in the cemetery next to celebrities. He arrives in the County town of N and quickly makes" big and small " connections there. These bright acquaintances will benefit him and open up new opportunities for personal gain.</p>	1608253013	https://api.tvmaze.com/shows/52316	https://api.tvmaze.com/episodes/1983260	NaN	Russian Federation	RU	Asia/Kamchatka	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
3	1997413	https://www.tvmaze.com/episodes/1997413/wan-sheng-jie-2x12-ah-goodbye-friends	Ah, Goodbye Friends	2	12.0	regular	2020-12-16	10:00	2020-12-16T02:00:00+00:00	4.0	None	NaN	NaN	NaN	https://api.tvmaze.com/episodes/1997413	48395	https://www.tvmaze.com/shows/48395/wan-sheng-jie	Wan Sheng Jie	Animation	Chinese	[Comedy, Anime, Supernatural]	Running	4.0	4.0	2020-04-01	None	https://v.qq.com/detail/a/awnia0n2erqryf3.html	10:00	[Wednesday]	NaN	15	NaN	104.0	Tencent QQ	NaN	https://v.qq.com/	NaN	NaN	380207.0	None	https://static.tvmaze.com/uploads/images/medium_portrait/259/648137.jpg	https://static.tvmaze.com/uploads/images/original_untouched/259/648137.jpg	<p>The pure and cute little devil Nini lives in Room 1031 of Wan Sheng Street Apartment. His roommates are no ordinary people: The lazy and wacky vampire Ira who spends most of his time gaming or watching TV, the unlucky dancer werewolf Vladimir, the serious and old-fashioned angel landlord Lynn and his naive little sister Lily, and many more.<br /><br />What none of them realize is that the power of the demon king is sleeping inside of Nini. With evil forces in hot pursuit, can Nini and his friends head off disaster?</p>	1647193542	https://api.tvmaze.com/shows/48395	https://api.tvmaze.com/episodes/2280228	NaN	China	CN	Asia/Shanghai	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
4	2386107	https://www.tvmaze.com/episodes/2386107/xian-feng-jian-yu-lu-1x48-episode-48	Episode 48	1	48.0	regular	2020-12-16	10:00	2020-12-16T02:00:00+00:00	8.0	None	NaN	NaN	NaN	https://api.tvmaze.com/episodes/2386107	49206	https://www.tvmaze.com/shows/49206/xian-feng-jian-yu-lu	Xian Feng Jian Yu Lu	Animation	Chinese	[Action, Anime, Fantasy, Supernatural]	Running	8.0	7.0	2020-07-11	None	https://v.qq.com/detail/m/mzc00200hc38s5x.html	10:00	[Wednesday, Saturday]	NaN	52	NaN	104.0	Tencent QQ	NaN	https://v.qq.com/	NaN	NaN	386423.0	None	https://static.tvmaze.com/uploads/images/medium_portrait/270/675333.jpg	https://static.tvmaze.com/uploads/images/original_untouched/270/675333.jpg	<p>In ancient Shenzhou, humans and demons had been in constant dispute for thousands of years. The demon princess from Tushan, Bai Binglan, and the human Zhang Kuangyun met each other due to a misunderstanding. In order to investigate the enemy country, Bai Binglan became Zhang Kuangyun's companion. As they travel together, Zhang Kuangyun discovers a conspiracy...</p>	1662275668	https://api.tvmaze.com/shows/49206	https://api.tvmaze.com/episodes/2386129	NaN	China	CN	Asia/Shanghai	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
5	2095628	https://www.tvmaze.com/episodes/2095628/yi-nian-yong-heng-1x21-episode-21	Episode 21	1	21.0	regular	2020-12-16	10:00	2020-12-16T02:00:00+00:00	19.0	None	NaN	NaN	NaN	https://api.tvmaze.com/episodes/2095628	49652	https://www.tvmaze.com/shows/49652/yi-nian-yong-heng	Yi Nian Yong Heng	Animation	Chinese	[Comedy, Action, Anime, Fantasy]	Running	19.0	19.0	2020-08-12	None	https://v.qq.com/detail/w/ww18u675tfmhas6.html	10:00	[Wednesday]	NaN	56	NaN	104.0	Tencent QQ	NaN	https://v.qq.com/	NaN	NaN	388680.0	tt13695606	https://static.tvmaze.com/uploads/images/medium_portrait/267/669816.jpg	https://static.tvmaze.com/uploads/images/original_untouched/267/669816.jpg	<p>One will to create oceans. One will to summon the mulberry fields.<br /><br />One will to slaughter countless devils. One will to eradicate innumerable immortals.<br /><br />Only my will… is eternal.<br /><br />A Will Eternal tells the tale of Bai Xiaochun, an endearing but exasperating young man who is driven primarily by his fear of death and desire to live forever, but who deeply values friendship and family.<br /><br />(Source: Novel Updates)</p>	1660662594	https://api.tvmaze.com/shows/49652	https://api.tvmaze.com/episodes/2374448	NaN	China	CN	Asia/Shanghai	https://api.tvmaze.com/episodes/2374449	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
6	2096298	https://www.tvmaze.com/episodes/2096298/no-turning-back-romance-1x04-4	4	1	4.0	regular	2020-12-16		2020-12-16T03:00:00+00:00	12.0	None	NaN	NaN	NaN	https://api.tvmaze.com/episodes/2096298	55002	https://www.tvmaze.com/shows/55002/no-turning-back-romance	No Turning Back Romance	Scripted	Korean	[]	Ended	NaN	12.0	2020-12-08	2021-01-06	None		[Tuesday, Wednesday]	NaN	24	NaN	30.0	Naver TVCast	NaN	https://tv.naver.com/	NaN	NaN	NaN	None	https://static.tvmaze.com/uploads/images/medium_portrait/319/799196.jpg	https://static.tvmaze.com/uploads/images/original_untouched/319/799196.jpg	<p>A teen romance of So Dam, a sixteen-year-old girl, who has never dated before but she receives her first-ever love confession from a mysterious boy. She is looking for the boy who secretly confessed to her while she was asleep on her desk. The clues include a male voice, mango fruit scent and gym uniform. She must piece the puzzle to find that person among the likely candidates that include hot shots Park Ji Hoo, Jeong Han Kyul, and Joo In Hyuk.</p>	1621617231	https://api.tvmaze.com/shows/55002	https://api.tvmaze.com/episodes/2096309	NaN	Korea, Republic of	KR	Asia/Seoul	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
7	2030020	https://www.tvmaze.com/episodes/2030020/dolls-frontline-2x12-episode-12	Episode 12	2	12.0	regular	2020-12-16	12:00	2020-12-16T04:00:00+00:00	5.0	None	NaN	NaN	NaN	https://api.tvmaze.com/episodes/2030020	45713	https://www.tvmaze.com/shows/45713/dolls-frontline	Dolls' Frontline	Animation	Chinese	[Comedy, Anime, Science-Fiction]	Ended	5.0	5.0	2019-07-28	2020-12-16	https://www.bilibili.com/bangumi/media/md28229895	12:00	[Wednesday]	NaN	20	NaN	51.0	Bilibili	NaN	None	NaN	NaN	373360.0	None	https://static.tvmaze.com/uploads/images/medium_portrait/234/587413.jpg	https://static.tvmaze.com/uploads/images/original_untouched/234/587413.jpg	<p>Re-imagines famous firearms as moe girls with machine bodies that are known as T-Dolls.</p>	1613086641	https://api.tvmaze.com/shows/45713	https://api.tvmaze.com/episodes/2030020	NaN	China	CN	Asia/Shanghai	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
8	2066369	https://www.tvmaze.com/episodes/2066369/chu-feng-yi-dian-shizi-1x06-episode-6	Episode 6	1	6.0	regular	2020-12-16		2020-12-16T04:00:00+00:00	30.0	None	NaN	NaN	NaN	https://api.tvmaze.com/episodes/2066369	54637	https://www.tvmaze.com/shows/54637/chu-feng-yi-dian-shizi	Chu Feng: Yi Dian Shizi	Animation	Chinese	[Action]	Ended	30.0	30.0	2020-11-18	2021-01-27	http://weibo.com/u/6516179447		[Wednesday]	NaN	8	NaN	118.0	Youku	NaN	None	NaN	NaN	395235.0	None	https://static.tvmaze.com/uploads/images/medium_portrait/305/764244.jpg	https://static.tvmaze.com/uploads/images/original_untouched/305/764244.jpg	<p>Ordinary high school student Haoxuan Sun was taken hostage in a seemingly robbery and rescued by a girl wearing winged battledress with bee bionics designs. Haoxuan Sun's peaceful life was stirred by the girl – human bioengineering weapon Vanguard Liuli. Discovered that he is the "Son of Eden" wanted by all the great powers, Haoxuan Sun and Liuli have been searching for the truth and fight against the so-called destiny. At the same time, people around Haoxuan Sun, senpai Ye Bai who he has a crash on, his best friend, and many others, were discovered to have a second identities.<br /><br />The new BEE anime is based on the original manga plot. In addition, BEE manga's author Baimao personally joined the production team. The new BEE will also include two subplots entirely new to the viewers.</p>	1617983545	https://api.tvmaze.com/shows/54637	https://api.tvmaze.com/episodes/2066376	NaN	China	CN	Asia/Shanghai	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
9	2071481	https://www.tvmaze.com/episodes/2071481/youths-in-the-breeze-1x11-people-from-the-story-03	PEOPLE FROM THE STORY #03	1	11.0	regular	2020-12-16		2020-12-16T04:00:00+00:00	7.0	None	NaN	NaN	NaN	https://api.tvmaze.com/episodes/2071481	54762	https://www.tvmaze.com/shows/54762/youths-in-the-breeze	Youths in the Breeze	Scripted	Chinese	[Drama, Fantasy]	Ended	7.0	7.0	2020-12-13	2020-12-22	https://v.youku.com/v_show/id_XNDk4OTUxMzg1Mg==.html?spm=a2hbt.13141534.0.13141534&s=6eefbfbd4befbfbd32ef		[Monday, Tuesday, Wednesday, Thursday, Friday, Saturday, Sunday]	NaN	27	NaN	118.0	Youku	NaN	None	NaN	NaN	397247.0	None	https://static.tvmaze.com/uploads/images/medium_portrait/308/770106.jpg	https://static.tvmaze.com/uploads/images/original_untouched/308/770106.jpg	<p>The play consists of three youth stories. "He and Meow": The cat Jiang Xiao Kui and his owner Jiang Qing from the cat kingdom live a happy life. Until Jiang Qing's younger brother Jiang Xia returned home. Xia, who was allergic to cats, and Jiang Xiao Kui, who hated his younger brother, started a battle over sister's favor. "Full-time rival": Xu Tian Yi and Li Shi Lin, who had been at odds for a long time, reunited during the summer sprint training. In the process of competing against each other, their misunderstanding was resolved. Just when the two worked together to enter the team, an accident happened. "The Man in the Story": Yu Sheng, a young man, accidentally discovered that he turned out to be a character in Xu Mo's novel. After learning about the tragic ending of himself and his sister, he came to the real world to fight with the writer in an attempt to change his destiny.</p><p><br /> </p>	1618466682	https://api.tvmaze.com/shows/54762	https://api.tvmaze.com/episodes/2071494	NaN	China	CN	Asia/Shanghai	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN

Last rows

	id	url	name	season	number	type	airdate	airtime	airstamp	runtime	summary	rating.average	image.medium	image.original	_links.self.href	_embedded.show.id	_embedded.show.url	_embedded.show.name	_embedded.show.type	_embedded.show.language	_embedded.show.genres	_embedded.show.status	_embedded.show.runtime	_embedded.show.averageRuntime	_embedded.show.premiered	_embedded.show.ended	_embedded.show.officialSite	_embedded.show.schedule.time	_embedded.show.schedule.days	_embedded.show.rating.average	_embedded.show.weight	_embedded.show.network	_embedded.show.webChannel.id	_embedded.show.webChannel.name	_embedded.show.webChannel.country	_embedded.show.webChannel.officialSite	_embedded.show.dvdCountry	_embedded.show.externals.tvrage	_embedded.show.externals.thetvdb	_embedded.show.externals.imdb	_embedded.show.image.medium	_embedded.show.image.original	_embedded.show.summary	_embedded.show.updated	_embedded.show._links.self.href	_embedded.show._links.previousepisode.href	image	_embedded.show.webChannel.country.name	_embedded.show.webChannel.country.code	_embedded.show.webChannel.country.timezone	_embedded.show._links.nextepisode.href	_embedded.show.network.id	_embedded.show.network.name	_embedded.show.network.country.name	_embedded.show.network.country.code	_embedded.show.network.country.timezone	_embedded.show.network.officialSite	_embedded.show.webChannel	_embedded.show.image	_embedded.show.dvdCountry.name	_embedded.show.dvdCountry.code	_embedded.show.dvdCountry.timezone
106	1998538	https://www.tvmaze.com/episodes/1998538/mermaid-prince-1x24-episode-24	Episode 24	1	24.0	regular	2020-12-16	21:00	2020-12-16T13:00:00+00:00	45.0	None	NaN	NaN	NaN	https://api.tvmaze.com/episodes/1998538	52780	https://www.tvmaze.com/shows/52780/mermaid-prince	Mermaid Prince	Scripted	Chinese	[Comedy, Fantasy, Romance]	Ended	45.0	45.0	2020-11-25	2020-12-16	None	21:00	[Wednesday, Thursday, Friday]	NaN	23	NaN	104.0	Tencent QQ	NaN	https://v.qq.com/	NaN	NaN	392162.0	None	https://static.tvmaze.com/uploads/images/medium_portrait/291/729458.jpg	https://static.tvmaze.com/uploads/images/original_untouched/291/729458.jpg	<p>‎Shen Moo, has no idea what adventures she will face. Beauty, is one of the best observers of Internet resources, but soon, in her head creeps the idea that in the universe there are mermaids. It's hard to believe, but for some reason, she can't get it out of her mind. Soon, she will have to take responsibility to prove their existence, otherwise, the dispute with the professor will turn out to be a real failure for the heroine. Together with the rescue team, they went to help the victims in The Xine Bay. Meet Ahn Xin - an athlete, will turn her reality. Unbelievable, but the guy is perceived as a mermaid. Of course, Mu Xin liked it madly, because she found a key witness and will be able to insist on her own. However, the mermaid man does his best to avoid revealing his real world.‎</p>	1654977444	https://api.tvmaze.com/shows/52780	https://api.tvmaze.com/episodes/1998538	NaN	China	CN	Asia/Shanghai	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
107	1984185	https://www.tvmaze.com/episodes/1984185/nfl-films-presents-2020-12-16-intensity	Intensity	2020	15.0	regular	2020-12-16	08:30	2020-12-16T13:30:00+00:00	30.0	None	NaN	NaN	NaN	https://api.tvmaze.com/episodes/1984185	6441	https://www.tvmaze.com/shows/6441/nfl-films-presents	NFL Films Presents	Sports	English	[]	Running	30.0	30.0	1999-08-23	None	http://www.nfl.com/videos/nfl-films-presents	08:30	[Saturday]	NaN	28	NaN	30.0	Naver TVCast	NaN	https://tv.naver.com/	NaN	NaN	274175.0	tt0211159	https://static.tvmaze.com/uploads/images/medium_portrait/406/1016520.jpg	https://static.tvmaze.com/uploads/images/original_untouched/406/1016520.jpg	<p><b>NFL Films Presents</b> is devoted to producing commercials, television programs, feature films, and documentaries on the National Football League, as well as other unrelated major events and awards shows. It is currently owned by the NFL and produces most of its videotaped content except its live game coverage, which is handled separately by the individual networks."</p>	1651026392	https://api.tvmaze.com/shows/6441	https://api.tvmaze.com/episodes/2261966	NaN	Korea, Republic of	KR	Asia/Seoul	NaN	205.0	NFL Network	United States	US	America/New_York	None	NaN	NaN	NaN	NaN	NaN
108	1991536	https://www.tvmaze.com/episodes/1991536/conversa-com-bial-4x153-especialistas-em-educacao	Especialistas em educação	4	153.0	regular	2020-12-16		2020-12-16T14:00:00+00:00	NaN	None	NaN	NaN	NaN	https://api.tvmaze.com/episodes/1991536	36813	https://www.tvmaze.com/shows/36813/conversa-com-bial	Conversa com Bial	Talk Show	Portuguese	[]	Running	NaN	40.0	2017-05-03	None	https://globoplay.globo.com/conversa-com-bial/p/10086/		[]	NaN	6	NaN	131.0	Globoplay	NaN	None	NaN	NaN	326962.0	tt6853288	https://static.tvmaze.com/uploads/images/medium_portrait/156/390605.jpg	https://static.tvmaze.com/uploads/images/original_untouched/156/390605.jpg	None	1648342248	https://api.tvmaze.com/shows/36813	https://api.tvmaze.com/episodes/2302125	NaN	Brazil	BR	America/Noronha	NaN	374.0	TV Globo	Brazil	BR	America/Noronha	None	NaN	NaN	NaN	NaN	NaN
109	2036616	https://www.tvmaze.com/episodes/2036616/the-bump-2x62-the-bump-74	The Bump 74	2	62.0	regular	2020-12-16	10:00	2020-12-16T15:00:00+00:00	30.0	None	NaN	NaN	NaN	https://api.tvmaze.com/episodes/2036616	44660	https://www.tvmaze.com/shows/44660/the-bump	The Bump	Talk Show	English	[Sports]	Running	30.0	30.0	2019-10-02	None	https://watch.wwe.com/original/WWEs-The-Bump-107410	10:00	[Wednesday]	NaN	60	NaN	15.0	WWE Network	NaN	None	NaN	NaN	371044.0	None	https://static.tvmaze.com/uploads/images/medium_portrait/411/1028717.jpg	https://static.tvmaze.com/uploads/images/original_untouched/411/1028717.jpg	<p>WWE's <b>The Bump</b> is unlike any WWE show you've ever seen before, featuring a dynamic cast of hosts--led by Kayla Braxton--and WWE Superstars stopping in weekly, both as in-studio and video call-in guests.</p>	1659877842	https://api.tvmaze.com/shows/44660	https://api.tvmaze.com/episodes/2371592	NaN	United States	US	America/New_York	https://api.tvmaze.com/episodes/2371586	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
110	1984683	https://www.tvmaze.com/episodes/1984683/sj-returns-4x83-episode-83	Episode 83	4	83.0	regular	2020-12-16	00:00	2020-12-16T15:00:00+00:00	5.0	None	NaN	NaN	NaN	https://api.tvmaze.com/episodes/1984683	52250	https://www.tvmaze.com/shows/52250/sj-returns	SJ Returns	Reality	Korean	[]	Running	5.0	5.0	2017-10-09	None	https://tv.naver.com/sjreturns	00:00	[Monday, Wednesday, Friday]	NaN	14	NaN	30.0	Naver TVCast	NaN	https://tv.naver.com/	NaN	NaN	336628.0	None	https://static.tvmaze.com/uploads/images/medium_portrait/286/716978.jpg	https://static.tvmaze.com/uploads/images/original_untouched/286/716978.jpg	<p>This show will follow Super Junior's everyday life.</p>	1613088348	https://api.tvmaze.com/shows/52250	https://api.tvmaze.com/episodes/2030085	NaN	Korea, Republic of	KR	Asia/Seoul	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
111	2192624	https://www.tvmaze.com/episodes/2192624/diti-proti-zirok-2x11-vypusk-11-ekaterina-kuhar-evgenij-klopotenko-ana-zaec	Выпуск 11 (Екатерина Кухар, Евгений Клопотенко, Яна Заец)	2	11.0	regular	2020-12-16	19:00	2020-12-16T17:00:00+00:00	90.0	None	NaN	NaN	NaN	https://api.tvmaze.com/episodes/2192624	44675	https://www.tvmaze.com/shows/44675/diti-proti-zirok	Діти проти зірок	Game Show	Ukrainian	[Action, Family]	Running	90.0	90.0	2019-09-25	None	https://novy.tv/ua/deti-protiv-zvezd/	19:00	[Wednesday]	NaN	21	NaN	21.0	YouTube	NaN	https://www.youtube.com	NaN	NaN	NaN	None	https://static.tvmaze.com/uploads/images/medium_portrait/365/913800.jpg	https://static.tvmaze.com/uploads/images/original_untouched/365/913800.jpg	None	1640952799	https://api.tvmaze.com/shows/44675	https://api.tvmaze.com/episodes/2245693	NaN	NaN	NaN	NaN	NaN	402.0	Новий Канал	Ukraine	UA	Europe/Zaporozhye	None	NaN	NaN	Ukraine	UA	Europe/Zaporozhye
112	2135011	https://www.tvmaze.com/episodes/2135011/dimension-20-7x06-collaborators	Collaborators	7	6.0	regular	2020-12-16		2020-12-16T17:00:00+00:00	NaN	None	NaN	NaN	NaN	https://api.tvmaze.com/episodes/2135011	56531	https://www.tvmaze.com/shows/56531/dimension-20	Dimension 20	Game Show	English	[Comedy, Adventure, Fantasy]	Running	NaN	NaN	2018-09-12	None	https://www.dropout.tv/dimension-20	19:00	[Wednesday]	NaN	80	NaN	311.0	Dropout	NaN	None	NaN	NaN	354216.0	tt9646546	https://static.tvmaze.com/uploads/images/medium_portrait/342/856895.jpg	https://static.tvmaze.com/uploads/images/original_untouched/342/856895.jpg	<p>Heed the call of adventure and enter <b>Dimension 20</b> where Game Master Brennan Lee Mulligan, joined by comedians and pro gamers, blends comedy with tabletop RPGs.</p>	1661872561	https://api.tvmaze.com/shows/56531	https://api.tvmaze.com/episodes/2382501	NaN	United States	US	America/New_York	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
113	1977414	https://www.tvmaze.com/episodes/1977414/goede-tijden-slechte-tijden-31x63-aflevering-6318	Aflevering 6318	31	63.0	regular	2020-12-16	20:00	2020-12-16T19:00:00+00:00	23.0	None	NaN	https://static.tvmaze.com/uploads/images/medium_landscape/288/720707.jpg	https://static.tvmaze.com/uploads/images/original_untouched/288/720707.jpg	https://api.tvmaze.com/episodes/1977414	2504	https://www.tvmaze.com/shows/2504/goede-tijden-slechte-tijden	Goede Tijden, Slechte Tijden	Scripted	Dutch	[Drama, Romance]	Running	23.0	25.0	1990-10-01	None	http://gtst.nl/#!/	20:00	[Monday, Tuesday, Wednesday, Thursday]	NaN	84	NaN	NaN	NaN	NaN	NaN	NaN	19056.0	104271.0	tt0096597	https://static.tvmaze.com/uploads/images/medium_portrait/332/830481.jpg	https://static.tvmaze.com/uploads/images/original_untouched/332/830481.jpg	None	1662346277	https://api.tvmaze.com/shows/2504	https://api.tvmaze.com/episodes/2379701	NaN	NaN	NaN	NaN	https://api.tvmaze.com/episodes/2379702	112.0	RTL4	Netherlands	NL	Europe/Amsterdam	None	NaN	NaN	NaN	NaN	NaN
114	1958867	https://www.tvmaze.com/episodes/1958867/wwe-nxt-14x51-main-event-toni-storm-vs-rhea-ripley	Main Event: Toni Storm vs. Rhea Ripley	14	51.0	regular	2020-12-16	20:00	2020-12-17T01:00:00+00:00	120.0	None	NaN	NaN	NaN	https://api.tvmaze.com/episodes/1958867	2266	https://www.tvmaze.com/shows/2266/wwe-nxt	WWE NXT	Sports	English	[]	Running	120.0	77.0	2010-02-23	None	http://www.wwe.com/inside/networkschedule	20:00	[Tuesday]	7.2	90	NaN	15.0	WWE Network	NaN	None	NaN	25100.0	144541.0	tt1601141	https://static.tvmaze.com/uploads/images/medium_portrait/401/1002762.jpg	https://static.tvmaze.com/uploads/images/original_untouched/401/1002762.jpg	<p>Each Wednesday at 8:00 p.m. ET, WWE Superstars and Divas of tomorrow face off on <b>WWE NXT</b><i>,</i> a one-hour weekly show that features the brightest and best of WWE's rising stars. WWE NXT showcases the Superstars and Divas from WWE's Performance Center as well as appearances from WWE Superstars and Legends in an intimate setting. WWE NXT broadcasts from the state-of-the-art Full Sail LIVE venue on the Full Sail University in campus in Orlando, Florida.</p>	1661969159	https://api.tvmaze.com/shows/2266	https://api.tvmaze.com/episodes/2383154	NaN	United States	US	America/New_York	https://api.tvmaze.com/episodes/2367107	30.0	USA Network	United States	US	America/New_York	None	NaN	NaN	NaN	NaN	NaN
115	1945146	https://www.tvmaze.com/episodes/1945146/noblesse-1x11-lord-lost-child	Lord / Lost Child	1	11.0	regular	2020-12-16	00:00	2020-12-17T05:00:00+00:00	25.0	<p>After being summoned by Lord Raskreia, Seira headed to her hometown of Lukedonia. Raskreia finds out about the false reports to protect Raizel and decides to punish Seira and Gejutel. Meanwhile, Raizel, Frankenstein, and Regis arrive in Lukedonia to save Seira and Gejutel.</p>	NaN	https://static.tvmaze.com/uploads/images/medium_landscape/292/732073.jpg	https://static.tvmaze.com/uploads/images/original_untouched/292/732073.jpg	https://api.tvmaze.com/episodes/1945146	49732	https://www.tvmaze.com/shows/49732/noblesse	Noblesse	Animation	Japanese	[Anime, Supernatural]	Ended	25.0	25.0	2015-12-04	2020-12-30	https://noblesse-anime.com/	00:00	[Wednesday]	NaN	44	NaN	20.0	Crunchyroll	NaN	None	NaN	NaN	386818.0	None	https://static.tvmaze.com/uploads/images/medium_portrait/268/670751.jpg	https://static.tvmaze.com/uploads/images/original_untouched/268/670751.jpg	<p>Raizel awakens from his 820-year slumber. He holds the special title of Noblesse, a pure-blooded Noble and protector of all other Nobles. In an attempt to protect Raizel, his servant Frankenstein enrolls him at Ye Ran High School, where Raizel learns the simple and quotidian routines of the human world through his classmates. However, the Union, a secret society plotting to take over the world, dispatches modified humans and gradually encroaches on Raizel's life, causing him to wield his mighty power to protect those around him... After 820 years of intrigue, the secrets behind his slumber are finally revealed, and Raizel's absolute protection as the Noblesse begins!</p>	1648716882	https://api.tvmaze.com/shows/49732	https://api.tvmaze.com/episodes/1985214	NaN	NaN	NaN	NaN	NaN	132.0	Tokyo MX	Japan	JP	Asia/Tokyo	None	NaN	NaN	NaN	NaN	NaN

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